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

Production deployment and delivery

• Own end-to-end delivery of ML and GenAI solutions from prototype to monitored production systems.
• Establish MLOps and LLMOps practices: CI/CD, versioning, testing, observability, drift detection, and cost monitoring.
• Define evaluation frameworks for both classical models and LLM/agent systems, covering accuracy, groundedness, safety, and regression testing.

Technical platform ownership

• Own the architecture, roadmap, and operations of the team's AI platform, including model serving, vector stores, retrieval pipelines, and orchestration layers.
• Build reusable agentic capabilities (tools, skills, workflow templates, evaluation harnesses) for adoption across teams and products.
• Lead build-versus-buy decisions across models, frameworks, and cloud services.

Technical thought leadership

• Set direction for agentic AI, RAG, and multi-agent orchestration, and define architecture patterns and standards.
• Evaluate emerging models, frameworks, and protocols (e.g., MCP) and translate them into practical adoption.
• Champion responsible AI, security, and governance in all solutions.

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.

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What’s in it For You?

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.

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More information about Thomson Reuters can be found on thomsonreuters.com.