Data Science Manager

Thomson Reuters India Pvt Ltd; Bengaluru; Hybrid; INR 4,000,000 - 6,400,000; Full time

Benefits offered by this job

Hybrid Work

Grow My Way

Mental Health Days

Headspace

Tuition Reimbursement

Job summary

Thomson Reuters India Pvt Ltd is seeking a Senior ML leader to own the end-to-end delivery of ML and GenAI solutions, from prototyping to production. You will establish MLOps/LLMOps, define evaluation frameworks, and own the AI platform architecture and roadmap.

You will mentor data scientists and AI engineers, drive build-versus-buy decisions, and champion responsible AI and governance while partnering with Sales, Marketing, and Product to advance use cases across the business.

Qualifications

• 8-10 years of experience in data science and ML with models deployed in production.
• Experience leading or mentoring data scientists or ML engineers.
• Hands-on experience building LLM applications, including prompt engineering, RAG, embeddings.
• Experience designing and shipping agentic systems with tool use and orchestration.
• Strong foundation in statistics, ML, and hypothesis testing.
• Expert Python and strong SQL skills.
• Experience with scikit-learn, PyTorch, or TensorFlow.
• Experience with cloud platforms (preferably AWS) and CI/CD for model deployment.
• Experience applying ML to business problems such as predictive analytics or recommendations.
• Strong communication and stakeholder management skills.
• Bachelor's degree or higher; quantitative field preferred.

Responsibilities

• Own end-to-end delivery of ML and GenAI solutions from prototype to production.
• Establish MLOps and LLMOps: CI/CD, versioning, testing, observability, drift detection.
• Define evaluation frameworks for models and agent systems.
• Own architecture, roadmap, and operations of the AI platform including model serving.
• Build reusable agentic capabilities for adoption across teams.
• Lead build-versus-buy decisions across models and cloud services.
• Set direction for agentic AI, RAG, and multi-agent orchestration.
• Evaluate emerging models and translate to practical adoption.
• Champion responsible AI, security, governance.
• Coach and mentor data scientists and AI engineers.
• Drive rigor, experimentation, and ownership culture.
• Hire, onboard, and retain strong talent.
• Partner with Sales, Marketing, Product, and Operations to prioritize use cases.
• Apply AI to business problems like workflow automation and recommendations.
• Communicate results and trade-offs clearly to engineers and leadership.

Skills

ML Leadership

Python

SQL

LLM Applications

MLOps

Agentic Systems

Cloud AWS

CI/CD for Models

Communication

Statistics

PyTorch

TensorFlow

LangChain

LangGraph

AutoGen

Education

Bachelor's degree or higher

Tools

scikit-learn

PyTorch

TensorFlow

LangChain

LangGraph

AutoGen

Job description

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.

What’s in it For You?

• Hybrid Work Model: We’ve 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 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.

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 .

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

Experience Level Senior Level