Manager, Data Science

Job Description Thomson Reuters is expanding its Data Science and AI organization and is looking for a Manager to lead a team building intelligent products and automation. You will own the full lifecycle of ML and GenAI solutions, from problem framing to production deployment and operation. The work spans traditional machine learning and modern GenAI systems, including LLM applications, RAG, agents, and multi-agent platforms. You will set technical direction, develop your team, and partner with business stakeholders to deliver measurable impact. Key Responsibilities Problem framing and solution design Translate business problems into well-scoped data science and AI use cases with clear hypotheses, success metrics, and value estimates. Lead the design and development of ML and GenAI solutions, including predictive models, LLM applications, RAG, and agents, from exploration through validated prototype. Partner with engineering to move solutions into production by defining model requirements, performance thresholds, and monitoring and retraining needs. Evaluation and impact measurement Define evaluation frameworks for classical models and LLM and agent solutions, covering accuracy, groundedness, safety, and regression. Design experiments and pilots, including A/B tests, to measure business impact and adoption, and use results to guide iteration and prioritization. Analyze post-launch model and agent performance, including quality, drift, and cost signals, and recommend improvements. AI roadmap and portfolio prioritization Shape the data science and AI roadmap for the team’s use case portfolio, prioritizing by business value, feasibility, and risk. Identify reusable agentic patterns such as prompts, skills, workflow templates, and evaluation sets, and partner with engineering to make them available across teams. Provide data science input into build-versus-buy decisions, including evaluation of model and vendor quality. Coaching and mentoring Lead, coach, and grow data scientists and AI engineers through feedback, code and design reviews, and career development. Build a culture of rigor, experimentation, and ownership. Hire, onboard, and retain strong talent. Stakeholder partnership Partner with Sales, Marketing, Product, and Operations to prioritize use cases and design solutions. Apply AI and data science to business problems such as workflow automation, customer retention, cross-sell, segmentation, pricing, and recommendations. Communicate results and trade-offs clearly to audiences from engineers to senior leadership. Required Qualifications 8-10 years of experience in data science and machine learning, with models deployed in production. Experience leading, mentoring, or managing data scientists or ML engineers. Hands-on experience building LLM applications, including prompt engineering, RAG, embeddings, and vector search. Experience designing and shipping agentic systems, including tool use, orchestration, and agent evaluation. Strong foundation in statistics, machine learning, and hypothesis testing. Expert Python and strong SQL skills. Experience with scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms (preferably AWS), containerization, and CI/CD for model deployment. Experience applying ML to business problems such as predictive analytics, segmentation, pricing, or recommendations. Strong communication and stakeholder management skills. Bachelor's degree or higher; a quantitative field is preferred. Preferred Qualifications Experience building multi-agent platforms with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. Experience with MCP and building reusable tools and skills for agents. Experience with LLMOps tooling, including tracing, evaluation, guardrails, and prompt management. Experience with advanced RAG techniques such as hybrid search, re-ranking, and retrieval evaluation. Familiarity with responsible AI practices, including hallucination mitigation, privacy, and governance. Experience on sales, marketing, or revenue-operations data, or automating business workflows with AI. Experience owning an AI platform used by multiple teams. #LI-NG1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.