Manager, Data Science
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Job Summary
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.
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 teams 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.
- 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.
- Bachelors degree or higher; a quantitative field is preferred.
- 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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Whats in it For You
Hybrid Work Model: Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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 tomorrows 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 26000 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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Manager
About Company
Thomson Reuters delivers technology with purpose — empowering professionals to make faster decisions, gain sharper insights, and deliver greater impact.
