Headquarters:
URL: http://essa-africa.org

POST TITLE: Consultancy: Design and Implementation of ACSL Impact Studies

PERIOD OF APPOINTMENT: 2026-2030

LOCATION: Sub-Saharan Africa

 

Applicants must have the right to work in their location. 

REPORTING TO: Senior Research, Evaluation and Impact Manager 

SALARY: Competitive - dependent on experience   

ABOUT ESSA

Education Sub Saharan Africa (ESSA) improves education using evidence and data from Africa in research, advocacy and programme design.  
 
We take a systems approach by identifying challenges and co-designing solutions in partnership with local education researchers, education leaders, policymakers, funders and employers to improve education outcomes for young people. Our research generates actionable insights that inform decisions, policies and practice and strengthen education systems.  
 
ESSA’s values are at the heart of everything we do, and they are: 
•    Evidence-driven: We are driven by data and evidence to find what works best, building an evidence alliance for education in sub-Saharan Africa. 
•    Solutions-focused: We seek the highest impact for young people and educators in sub-Saharan Africa with the cost-effective funds we invest.  
•    Strengthening Trust: We strive to create supportive environments, building trust with the communities we work with. 
•    Always learning: Everyone’s opinion is valuable; we develop solutions through teamwork. 
 
To find out more about ESSA, visit essa-africa.org. 

ABOUT THE ROLE

Background and Context

The African Centre for School Leadership (ACSL) was established in 2021 to transform school leadership systems across Africa. The Centre’s mission is to collaborate with governments and regional institutions to provide high-quality, contextualised professional development services, conduct research, and offer policy advice to enhance school leadership, teaching, and student outcomes. By developing school leaders and improving educational practices, ACSL seeks to foster positive changes in the education sector, enhancing learning environments, student well-being, and overall academic quality at national and Pan-African levels. Further details about ACSL can be found on the ACSL website (African Centre for School Leadership).

 

ACSL functions as a coalition of regional and in-country partners implementing donor-funded projects, and four key Pan-African organisations coordinate it: the Association for the Development of Education in Africa (ADEA), Education Sub-Saharan Africa (ESSA), the Forum of African Women Educationalists (FAWE), and VVOB – Education for Development. In partnership with the Mastercard Foundation, ACSL launched the Foundation Phase Project (2023-2024), which spanned Rwanda, Kenya, and Ghana. This initiative focused on two central themes: the intersection of gender and school leadership and the emerging Ubuntu leadership model. These areas guided the Centre's work in promoting inclusive, innovative, and collaborative school leadership practices across the continent. 

 

ACSL is actively engaged in implementing the Leaders in Teaching (LIT) LEAD pillar across Tanzania, Malawi, Liberia, and Sierra Leone. This initiative focuses on strengthening the leadership capacities of secondary school leaders to foster more effective teaching and learning environments. By 2030, the programme aims to benefit over 14,493 secondary schools, including both public and non-state institutions, in LIT expansion countries and throughout the Pan-African region.  

 

Through targeted School Leadership Professional Development (SLPD), school leaders will be better equipped to support teachers and drive improvements in student learning outcomes. The initiative is expected to affect approximately 4,853,564 students enrolled in secondary education. 

 

The initiatives of ACSL-LIT-Lead concentrate on four key areas:  

    1. Supporting the development and reform of evidence-based policies and frameworks for school leadership. 

    2. Supporting the delivery of professional development programmes for school leaders. 

    3. Researching to generate insights on school leadership effectiveness.  

    4. Promoting communication and advocacy to disseminate lessons and enhance sector coordination.

 

ACSL aims to improve learning outcomes and reduce gender and equity disparities in education through enhanced school leadership practices. 

Purpose of the Consultancy 

The Centre seeks to engage an African-led consortium of institutions to provide coordinated technical leadership, methodological rigour, and independent analysis to support the design, implementation, synthesis, and cross-study learning across six potential studies. Further details on the studies can be found: ACSL Impact Studies - Concept Note.

The purpose of this engagement is for the consortium of institutions to: 

• Provide independent technical lead for the design and implementation of the ACSL’s six impact studies. 

• Ensure methodological coherence, quality assurance, and alignment with ACSL’s Theory of Change and the outcomes of the ADEA Triennale in 2025 (See the detailed concept note referenced above for more information; pages 35 to 44).  

• Apply contribution-focused, mixed-methods, and Afrocentric analytical approaches across the portfolio. 

• Generate high-quality evidence products to inform learning, policy influence, and the sustainability of the Centre. 

Required Qualifications and Experience 

Given the multi-country scope, cross-cutting thematic focus, and technical complexity of the six interrelated studies, ACSL strongly encourages applications from qualified consortia of organisations rather than single entities. Applicants are therefore encouraged to form consortia that strategically combine complementary expertise. 

 

ACSL requires the consortium to be African-led. The lead institution must be legally registered and headquartered in Africa, with demonstrated experience leading multi-country evaluation portfolios on the continent.  

 

The consortium model should clearly demonstrate: 

• Defined and complementary roles among partners. 

• Clear governance and coordination arrangements. 

• Mechanisms for quality assurance and methodological coherence across studies. 

• Efficient financial management and accountability structures. 

• Designation of a lead institution responsible for overall portfolio coordination and primary contractual engagement. 

 

Additionally, the consortium team collectively should demonstrate: 

• Proven experience in school leadership and/or education systems evaluation, preferably in Africa. 

• Strong expertise in school leadership, professional development, and policy reform. 

• Demonstrated use of mixed-methods, contribution analysis, and systems evaluation. 

• Experience with gender-transformative and equity-focused research. 

• Strong understanding of Afrocentric and contextually grounded leadership models. 

• Ability to manage multi-country, multi-study evaluation portfolios. 
• Excellent analytical writing and knowledge translation skills. 

Scope of Work

ACSL expects the consortium of institutions to possess complementary expertise, where each member leads or co-leads specific studies aligned with its demonstrated core strengths. The consortium must collectively demonstrate the capacity to deliver all six studies and present a clear framework for executing them as a coherent portfolio, including defined approaches to sequencing, methodological alignment, cross-study learning integration, and quality assurance.  

 

Applicants are advised that the methodology presented in the concept note is indicative and may be used as a guiding framework.  

 

Study Coverage: 

1. Study 1: School leadership practice, data use, and learner outcomes (Tanzania). 

2. Study 2: Gender, equity, and social inclusion in school leadership (Pan Africa & Tanzania). 

3. Study 3: Policy and institutionalisation of school leadership professional development (Pan Africa & Tanzania). 

4. Study 4: Effectiveness of school leadership professional development (Pan Africa & Tanzania). 

5. Study 5: Research capacity, blended learning trajectories, and evidence use (Pan Africa & Tanzania). 

6. Study 6: Collaboration, networks, and formative assessment for ACSL Centre establishment (Pan Africa & Tanzania). 

 

Key Tasks and Responsibilities 

The consortium will be expected to undertake the following tasks:

1. Inception and Design

• Review ACSL programme documentation, Theories of Change, and study concept notes. 

• Review evaluation questions and contribution pathways across the six studies. 

• Develop and/or validate study designs, sampling strategies, and data collection tools. 

• Ensure Afrocentric, gender-responsive, and context-sensitive frameworks are embedded across studies.
• Define clear leadership and technical responsibilities among consortium members for specific studies, while establishing mechanisms for portfolio-level coordination and coherence

 2. Methodological Implementation Support

• Lead the longitudinal, mixed-methods, and contribution-based evaluation approaches through designated lead institutions within the consortium. 

• Embark on network mapping, policy analysis, institutional readiness assessment, and professional development effectiveness analysis. 

• Ensure ethical standards, data protection, and safeguarding protocols are applied. 

• Provide technical oversight to fieldwork coordination (working with partners). 
  

3. Data Analysis and Synthesis

• Analyse quantitative and qualitative data across studies under coordinated leadership arrangements within the consortium. 

• Conduct cross-study triangulation and synthesis. 

• Generate contribution narratives explaining how ACSL interventions influence observed outcomes. 

• Support intersectional analysis (gender, location, disability etc.). 

• Establish internal quality assurance processes to ensure methodological consistency across consortium-led studies. 
  

4. Learning, Adaptation, and Knowledge Translation

• Produce learning briefs and adaptive management insights. 

• Support policy dialogue processes and learning convenings. 

• Collaborate with ACSL to translate findings into policy briefs, practice notes, and advocacy-ready products. 

• Ensure structured cross-learning between consortium members to inform adaptive programme refinement. 

5. Portfolio-Level Integration

• Ensure coherence and complementarity across the six studies. 

• Produce an integrated impact and learning synthesis. 

• Share how the six study outputs will feed into a unified portfolio-wide evidence and learning framework to inform ACSL learning, policy dialogue, and programme adaptation. 

Key Deliverables 

The institution/firm/consortium will be responsible for delivering, at minimum, the following deliverables: 

• Inception and Integrated Portfolio Evaluation Design Report covering all six studies, including the overarching evaluation framework, cross-study analytical approach, and synthesis strategy. 

• Study-Specific Technical Reports and Case Studies (as per agreed scope). 

• Mid-term Learning and Adaptive Management briefs. 

• Final Integrated Impact, Learning, and Contribution Synthesis Report. 

• Policy, Practice, and Centre Products, including briefs and a roadmap for the ACSL Centre. 

Duration and Level of Effort

• The consultancy is expected to run over a multi-year period (2026–2030), aligned with the timing of the six studies (as indicated in the ACSL Impact Study Concept Note). 

• Level of effort will be phased and agreed during inception, with peaks during design, midline reviews, and final synthesis with clear allocation of responsibilities across consortium members. 

 

Reporting and Coordination

• The institution/firm/consortium that is awarded the contract will report to the Senior Research Evaluation and Impact Manager at ESSA, with a dotted line to the ACSL Head of Research. 

• Work will be coordinated closely with ACSL partners (ADEA, ESSA, FAWE, VVOB, Education for Development) and national stakeholders. 

• Agreed timelines for progress updates and learning check-ins will be required. 

• The consortium must demonstrate a clear internal governance structure to ensure effective coordination and accountability. 
  

Ethical Considerations

The consortium must: 

• Adhere to ethical research standards. 

• Ensure informed consent and confidentiality. 

• Apply safeguarding and data protection protocols. 

• Demonstrate sensitivity to power dynamics and institutional contexts. 

 

Application and Selection Criteria

Interested consortia/firms should submit: 

• Technical proposal outlining approach, methodology, and work plan. 

• Team composition and CVs. 

• Relevant organisational and team experience. 

• Financial proposal (must be submitted using the provided ACSL Budget Template: ACSL Impact Studies - Budget Template). Proposals not aligned with the template may be considered non-responsive. Please consult the Budget Guidance Note for guidance on completing the budget template: ACSL Impact Studies - Budget Guidance Note.
  

• Samples of similar assignments.
  

Selection will be based on technical quality, relevance of experience, methodological robustness, and value for money. 

ACSL Pre-application Information Webinar

Interested institutions/consortium/firms are requested to carefully review all the provided documents, including the Frequently Asked Questions (FAQs). If, after reviewing the documents, you require further clarification, please submit your queries: ACSL Impact Studies - Enquiries Form. All questions must be submitted by 11 May 2026 at 0900 hrs GMT. 

 

ACSL will host an information webinar to provide additional clarification on the Impact Study and respond to submitted queries. Details of the webinar are provided below. 

 

• Date: 15th May 2026 

• Time: 1000hrs – 1200hrs GMT | 1300hrs – 1500hrs EAT 

 

To attend, please register via this link: Zoom registration link.

 

How to apply

Applicants are encouraged to submit their applications after the information session.

 

Please ensure that all your application documents are saved using your given name and surname. For example, Firstname.Surname Technical Proposal. The closing date for applications is 20th July 2026 at 0900hrs GMT 

Expected start date

The consortium engagement is expected to commence in October 2026, subject to contracting and finalisation of scope. 

Equality & Diversity

The importance of equality, diversity, and inclusion (EDI) underpins our mission and values at ESSA. We prioritise inclusion and celebrate the breadth of knowledge and experience working across diverse cultures brings to the organisation.

 

EDI at ESSA is embodied in the current composition of our Board of Trustees and our workforce, which strongly reflects the communities we work in, and we actively encourage applications from people of all backgrounds and cultures.

To apply: https://weworkremotely.com/remote-jobs/education-sub-saharan-africa-consultancy-design-and-implementation-of-acsl-impact-studies

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

Advance AbbVie’s pipeline by striving for excellence in clinical research, turning science into medicine for our patients and leveraging advanced capabilities to drive industry leading performance.

Partners with study teams, AbbVie internal R&D stakeholders, investigators, and site staff for meaningful and effective engagements positioning AbbVie as the partner of choice in clinical trials.

Focus on site clinical research that ensures appropriate conduct of the trial while driving improvement in data integrity, compliance, overall study performance and customer experience.

Responsibilities

List up to 10 main responsibilities for the job. Include information about the accountability and scope.

• “Considered as the Pprimary Sponsor pPoint of contact for the investigative site. Advanced level of competency or experience in providing contextual information on the clinical trials, connecting stakeholders to the investigative sites and strengthening Abbvie’s positioning.

Ability to motivate and align monitoring community through leadership and mentorship.”

• Aligns, trains and motivates the site staff and principal investigator on the goals of the clinical trial program, protocol, and patient treatment principles for the trial ensuring a trusted partnership. Able to support, guide, and mentor junior personnel on Site Management activities.
• “Conducts site evaluation, site training, routine on-site and off-site monitoring, and site closure monitoring activities with compliance to the protocol and monitoring plans, in accordance with applicable regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and quality standards, ensuring safety and protection of study subjects.
• Superior understanding of site engagement and ability to customize site engagement strategy for assigned study/ies and critically apply new strategies as needed. Gather local/site insights and utilize site engagement tools to report/track progress and measure impact of that strategy.
• Superior level of competency connecting the study protocol, scientific principles and clinical trial requirements to the day-to-day clinical trial execution activities. Expert understanding to generate and ensure effective recruitment and retention techniques/plans based on the patient disease journey.

Develop solid knowledge of therapeutic area, asset and clinical landscape / patient journey to enable successful patient recruitment and overall protocol compliance.”

• Possesses advanced level of competency to mentor and train less experienced CRAs on various aspects of work and provides input into their development. Supports local onboarding of more junior CRAs. Demonstrates ability to openly listen to and consider viewpoints to enhance outcomes.
• May participate/lead in global/local task forces and initiatives. Responsible for activities as assigned by manager.

“

• Responsible for continuous risk-assessment proactively, and in collaboration with Central Monitoring team, monitor activities conducted by clinical sites to detect early overall study performance or patient safety issues. Superior ability to think critically to resolve site risk signals while having robust understanding of site processes to drive study execution. Ensures preventative and corrective action plans are put into place, as needed, to mitigate risk and promote compliance using a cust
• Independently Identifies, evaluates and recommends new/potential investigators/sites on an on going basis demonstrating expert understanding and decision making. Potential sites may be identified through networking or internal AbbVie requests to assist in the placement of planned clinical studies with qualified investigators.
• Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel. Ensures audit and regulatory inspection readiness at assigned clinical site at all times. Manages investigator payments as per executed contract obligations, as applicable.

Qualifications

• Appropriate tertiary qualification in health related disciplines (e.g., Medical, Scientific, Pharmacy, Nursing) preferred.
• Minimum of 3 years of clinically related experience, of which a period of 2 years is preferable in independent clinical research monitoring of investigational drug or device trials in any therapeutic area. Familiar with risk‐based monitoring approach, onsite and offsite monitoring.
• Knowledge of appropriate therapeutic area indications with the ability to understand and apply scientific concepts as they relate to the conduct of clinical trials
• Superior knowledge on existing and emerging local regulatory and legal requirements, ICH/GCP Guidelines and applicable policies.
• Demonstrate advanced communication skills and superior cross-functional collaboration skills among internal and external stakeholders.
• Demonstrate superior planning and organizational skills and the ability to work effectively and efficiently in a dynamic environment with competing projects and deadlines.
• Superior ability to leverage technology, tools and resources to provide customer centric support based on the health of the site.
• Superior interpersonal skills with excellent written, verbal, active listening and presentation skills, with ability to establish and leverage site relationships and trusted partnerships through engagement, motivation, and training.
• Ability to independently use functional expertise, leverage critical thinking skills and apply good judgement to address clinical site issues
• Acts with integrity in accordance with AbbVie code of business conduct and leadership values. Self-motivated individual focused on delivering timely and quality outcomes in a fast-paced environment.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount isearned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolutediscretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.

About Honor

Our mission is simple: change the way we care for our parents so they can age safely at home.

How we accomplish that mission is anything but simple. Delivering reliable home care requires coordinating people, schedules, geography, skills, preferences, and changing needs across a complex operating environment.

Honor combines technology, operations, and the local expertise of our partner agencies to improve how care is delivered at scale. Our platform supports the caregivers who provide care, the teams who coordinate it, and the families who depend on it.

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges.

About the role

You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions.

This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes.

You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach.

What you’ll do

• Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.
• Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability.
• Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work.
• Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration.
• Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
• Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

Examples of problems you may solve

• Improving caregiver-client matching while balancing fit, continuity, availability, and travel.
• Building more reliable and sustainable schedules for caregivers and clients.
• Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact.

About you

• 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams.
• Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes.
• Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all.
• Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight.
• Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems.
• Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor.
• Can communicate clearly with technical, operational, and executive audiences.
• Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view.
• Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture.

Helpful experience

Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation.

A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact.

Why this role is different

Many companies have interesting datasets. Honor has a dynamic operating environment in which technical decisions directly affect caregivers, care teams, families, and older adults. The opportunity is to build systems that do more than predict outcomes. They will help Honor decide what to do next, execute more effectively, and continuously learn from the results.

Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.

Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range

$228,600—$254,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

About the role:Gartner Analysts are industry thought leaders who create must-have insights, market predictions and best practices for a broad range of world-leading organizations.

Applied Scientist (Integrity)

Prolific is building the human data infrastructure that powers the next generation of AI systems. As frontier AI labs scale their use of human-generated data for training, evaluation, and alignment, the way we measure quality, performance, and operational efficiency becomes increasingly important.

The Role

You’ll join Prolific’s Integrity team, which protects the platform from fraud and misuse. This is a new role focused on verification - in particular identifying and validating high quality expert participants. This is an emerging area, so part of the role will be to shape the problem space:  working with other teams to find,validate and model useful signals for participant quality. The ideal candidate will help define the right problems to solve, not just execute against a fixed brief.

The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. This isn’t a pure research role, although you may explore papers and explore new ideas. The focus is on turning promising approaches into production ready solutions. It is also not an ML engineering role: you don’t need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production, not ones that are too slow or expensive to run, and about the judgement to tell the difference.

How You’ll Work

• You’ll be the first data person in this area, so you’ll help shape the role and create structure where there isn’t much yet, with support from leadership. You don’t need to have all the answers on day one.
• You spot problems worth solving and start on them, rather than waiting to be assigned.
• You will be comfortable (and ideally enjoy) collaborating with others.

What We are looking for

• Deep expertise in one applied ML, statistics, or data science specialism. Examples could be risk modelling, LLM detection, and reinforcement learning, but any area of genuine depth counts
• Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches.
• 3+ years applying ML, AI research, or data science to real problems.
• Python skills sufficient to build, test, and iterate on working prototypes independently.
• Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics.
• You must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do.

Nice to have

• An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way.
• Experience working alongside product and engineering teams.

Why Prolific is a great place to work

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Links to more information on Prolific

Benefits

External Handbook

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific’s Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Applied Scientist (Integrity)

Prolific is building the human data infrastructure that powers the next generation of AI systems. As frontier AI labs scale their use of human-generated data for training, evaluation, and alignment, the way we measure quality, performance, and operational efficiency becomes increasingly important.

The Role

You’ll join Prolific’s Integrity team, which protects the platform from fraud and misuse. This is a new role focused on verification - in particular identifying and validating high quality expert participants. This is an emerging area, so part of the role will be to shape the problem space:  working with other teams to find,validate and model useful signals for participant quality. The ideal candidate will help define the right problems to solve, not just execute against a fixed brief.

The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. This isn’t a pure research role, although you may explore papers and explore new ideas. The focus is on turning promising approaches into production ready solutions. It is also not an ML engineering role: you don’t need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production, not ones that are too slow or expensive to run, and about the judgement to tell the difference.

How You’ll Work

• You’ll be the first data person in this area, so you’ll help shape the role and create structure where there isn’t much yet, with support from leadership. You don’t need to have all the answers on day one.
• You spot problems worth solving and start on them, rather than waiting to be assigned.
• You will be comfortable (and ideally enjoy) collaborating with others.

What We are looking for

• Deep expertise in one applied ML, statistics, or data science specialism. Examples could be risk modelling, LLM detection, and reinforcement learning, but any area of genuine depth counts
• Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches.
• 3+ years applying ML, AI research, or data science to real problems.
• Python skills sufficient to build, test, and iterate on working prototypes independently.
• Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics.
• You must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do.

Nice to have

• An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way.
• Experience working alongside product and engineering teams.

Why Prolific is a great place to work

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Links to more information on Prolific

Benefits

External Handbook

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific’s Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Apresentação

A transição para uma economia sustentável impõe ao país um desafio estrutural: assegurar que o esforço de descarbonização, adaptação climática e modernização produtiva resulte em desenvolvimento econômico sustentável, sem ampliar vulnerabilidades sociais nem gerar impactos desproporcionais sobre trabalhadores, comunidades e territórios. Nesse contexto, o princípio da transição justa orienta a necessidade de integrar, de forma equilibrada, as dimensões econômica, social e ambiental, garantindo que os benefícios da nova economia sejam acessíveis a todos e que eventuais efeitos adversos sejam adequadamente mitigados.

Descrição da oportunidade

Após uma primeira etapa de apoiar nosso parceiro na estruturação inicial do novo pilar de Resiliência e Transição Justa por meio de um processo robusto de discovery e sistematização do conhecimento, temos o desafio de construir uma Teoria da Mudança para esse pilar, garantindo um olhar coerente sobre todas as ações a serem desenvolvidas, conectando o cenário atual e onde espera chegar.

O núcleo desta etapa consiste na elaboração da Teoria da Mudança: um documento estruturado que parte da Visão de Impacto do parceiro e traz uma cadeia de resultados intermediários; compila atividades e intervenções concretas necessárias para alcançar cada um dos resultados intermediários, diretamente ligadas aos resultados desejados, formando uma sequência lógica de ações para a mudança, e identifica premissas e condições que precisam estar presentes para que cada resultado intermediário ocorra.

Esse processo permitirá ao contratante ter clareza da sua estratégia, tendo o cenário de ação como ponto de partida, a visão de impacto como ponto de chegada, os caminhos de mudança, os resultados intermediários e as premissas de ação.

Perfil esperado

• Formação superior completa em ciências sociais, economia, administração, estatística, sustentabilidade ou áreas correlatas;
• Experiência em transição justa, transição para economias de baixo carbono, mudanças climáticas ou proteção socioambiental;
• Mestrado, doutorado e/ou pós-graduação na área são desejáveis;
• Experiência em teoria da mudança e avaliação de impacto;
• Conhecimento em frameworks de impacto relacionados aos ODS;
• Boa capacidade de pesquisa e redação de relatórios;
• Boa capacidade de sintetização e elaboração de apresentações;
• Desejável experiência com projetos de pesquisa aplicada e interface com stakeholders;
• Domínio avançado de inglês;
• Capacidade de trabalhar em equipes interdisciplinares;
• Facilidade no relacionamento com especialistas e para apresentação a públicos;
• Importante residir em São Paulo ou região próxima. Trabalho predominantemente remoto, com atividades esporádicas presenciais, como oficinas e workshops.
  
  

Atividades

• Desenvolver a Teoria da Mudança: Criar e estruturar o arcabouço lógico que conecta objetivos estratégicos, resultados intermediários, atividades e indicadores de impacto;
• Conduzir revisões de literatura e benchmarking: Pesquisar modelos, abordagens e referências nacionais e internacionais do estado da arte sobre teoria da mudança e avaliação de impacto nos temas trabalhados, trazendo melhores práticas para o contexto local;
• Elaborar diagnósticos e cenários de ação: Sistematizar dados e informações qualitativas e quantitativas junto ao time para produzir relatórios que subsidiem a tomada de decisão estratégica;
• Elaborar apresentações executivas e relatórios detalhados tanto para a alta liderança quanto para técnicos e especialistas.
  
  

Incentivo à diversidade

O Instituto Cordial tem o compromisso de promover a inclusão e a diversidade em sua equipe. Por isso, incentivamos a candidatura de mulheres, negros, indígenas, LGBTQ+, com deficiência e necessidades especiais.

Trabalhando na Cordial

• Ambiente sempre aberto à construção coletiva, sugestões e aprimoramentos;
• Gostamos de trabalhar com desafios e de criar novas formas para resolver problemas difíceis;
• Tudo que fazemos, realizamos com excelência, muita organização e cuidado; Trabalhamos sempre com transparência, sinceridade e respeito;
• Oportunidade de trabalhar com questões reais da sociedade e impactos concretos em projetos multidisciplinares;
• Incentivo constante à autonomia, aprendizado contínuo, desenvolvimento pessoal e profissional.
  
  

Formato de contratação

• Trabalho remoto;
• A contratação será realizada por prestação de serviço, pessoa jurídica, por escopo e tempo determinado;
• Tempo estimado do projeto: 8 meses, com entregas intermediárias.

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbHis looking forward to your application!

Job Description

Electric drives are at the heart of modern mechatronics, and the industry is rapidly moving toward sensorless control to estimate rotor positions using software rather than physical sensors. This thesis explores how Artificial Intelligence and Neural Networks can revolutionize traditional control architectures. The goal is to investigate and design advanced neural network concepts that learn control and estimation tasks. By mapping system measurements to control states, this research aims to pave the way for the next generation of intelligent, software-defined electric drive control.

• During your thesis you will gain a solid understanding of the physical models of electric drives (e.g., electric machines, inverters) and the simulation environment.
• You will analyze state-of-the-art machine learning and neural network approaches applied to sensorless control of electric drives.
• Furthermore, you will develop novel AI-based control architectures, exploring both modular and end-to-end neural network designs.
• You will implement, test, and validate your control algorithms using high-fidelity electric drive simulation models.
• Finally, you will document your methodology, analyze the results, and present your findings to the development team.

Qualifications

• Education: Master studies in the field of Cybernetics, Engineering, Mathematics, Computer Science or comparable with good grades
• Experience and Knowledge: profound knowledge of control engineering and machine learning; experience in Python or MATLAB
• Personality and Working Practice: you excel at analyzing complex problems, structuring your tasks systematically, while driving results with a highly autonomous working style
• Work Routine: we offer you the opportunity to work in a hybrid setup
• Languages: very good in English

Additional Information

Start: according to prior agreement

Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?

Felix Berkel (Functional Department)

+49 711 811 92301

Work #LikeABosch starts here: Apply now!

#LI-DNI

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

Syndio is the platform more than half the Fortune 100 trust to govern pay decisions, built on a decade of pay equity work and millions of real pay records. The Future of Pay Lab is our research, narrative, and category engine — the team making pay a strategic decision rather than a compliance afterthought, and defining decision intelligence for pay as a category before anyone else does.

We’re hiring a Senior Research Scientist to connect rigorous science with real, measurable impact. This is an ownership role for someone who wants to work at the intersection of psychology, data, and product strategy, and to carry an idea all the way from the literature to a partner’s boardroom.

Why this job is exciting

• Lead insight strategy. Build the frameworks that turn complex data and psychological science into insights people can act on — for our products and for our partners.
• Own the path from science to practice. Source from the research, design the data architecture and measurement models, and carry findings through to product and partner implementation.
• Commercialize research. Take work beyond the experiment into product features, reporting frameworks, and go-to-market tools that deliver measurable value.
• Consult with partners. Work directly with major client organizations to connect our product to their outcomes and apply behavioral science in ways that improve how they make decisions and how their people perform.
• Influence across functions. Be the trusted voice between research, product, and go-to-market, and shape how the whole organization generates and applies insight.

About you

• A PhD or equivalent depth in industrial-organizational psychology, behavioral or decision science, labor economics, or a related field.
• A track record of applied research that changed a product, a decision, or a business outcome — not only a publication record.
• Strong measurement and quantitative skills: survey and instrument design, psychometrics, causal and quasi-experimental methods, and real comfort with messy, real-world data.
• The judgment to consult senior stakeholders and partners credibly, and the writing to make rigorous work land with a CHRO or a CFO.
• A bias for ownership. You’re energized by ambiguous, integrative problems and you drive them to impact without waiting for a map.

Extra Credit

• Domain depth in compensation, total rewards, or pay equity.
• Published thought leadership or a public research voice.
• Experience in a startup, an applied research lab, or a research-to-product environment.
• Working fluency with data tools such as SQL, Python, or R.

Why you’ll love it here:

• 💰 Competitive Compensation. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• Fully remote model - #LI-Remote

The interview overview

Below you’ll find an outline of the interview plan for our Research Scientist position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members - 2.5 hours
• Final interviews with executive - 1 hour

At Syndio, we’re building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we’d love to talk with you even if you don’t 100% meet the “about you” listed here. We don’t expect anyone to have all the answers, as long as you’re willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Join Excelya, a company driven by Audacity, Care, and Energy, where innovation and collaboration are at the heart of everything we do.