# Data Scientist at Thomson Reuters

AI Level 4, AI centrality 85 out of 100. India, Bengaluru, Karnataka.

## Details

- Company: [Thomson Reuters](https://jobsbylevel.com/companies/thomson-reuters)
- AI level: AI Level 4 (score 85 out of 100)
- Location: India, Bengaluru, Karnataka
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/405fc338-f28c-41ab-b2bb-b4d37d872759

## Description

Would you like to be part of an exciting journey that is shaping the way businesses and industry are using data? Are you excited by the prospect of analysing data and finding hidden trends and meaning from it? Do you want to be on the cutting edge of analytics, leveraging predictive models and machine learning to drive business impact? About the role In this opportunity as a Data Scientist, you will: Build digital solutions for various HR processes and workflows, People Analytics products, and related tools, using React front-end and FastAPI backend architectures Design and maintain backend data systems, including strong hands-on work with Snowflake, and build LLM-based workflows and Agentic AI solutions to support HR and People Analytics use cases Take the initiative to tackle new business problems and have the curiosity to explore large volumes of data Seamlessly work with various business stakeholders, understand their individual needs and design custom solutions Will interrogate data, conduct independent research, utilize various techniques to analyze it and, if need be, tackle ambiguous problems with maturity About you You're a fit for the role of Data Scientist if your background includes: Must have at least 2-4 years of experience working in the data science domain Knowledge of advanced statistical modelling, testing, data mining, and data science techniques H as used modelling frameworks including Scikit-learn, PyTorch , and TensorFlow Highly proficient in Python and SQL (or any other querying language) Has advanced Excel and PowerPoint skills Experience developing applications using React and FastAPI is a plus Experience developing AI-powered workflows or tools (e.g., LLM-based agents, automation pipelines) is a plus S trong logical and scientific approach to problem-solving Excellent organizational, analytical and problem-solving skills Ability to communicate complex results in a simple and concise manner at all levels within the organization Ability to excel in a fast-paced, startup-like environment Has experience building machine learning algorithms and implementing models in production Conceptual understanding of Hadoop and cloud computing like AWS Demonstrated participation on platforms like Kaggle is a plus Experience using Amazon Web services is a plus Experience with one or more of the following types of business analytics applications: Sentiment Analysis and Topic Modelling Predictive Modelling Customer Segmentation / Profiling Designing & Implementing AI/LLM workflows, including prompt engineering Recommendation engines #LI-NG1 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,

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Source: https://jobsbylevel.com/jobs/data-scientist-at-thomson-reuters-770ef9

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