Senior Data Scientist – Legal AI Customer Analytics
Thomson Reuters · Bengaluru
| Company | Thomson Reuters |
|---|---|
| Role | Senior Data Scientist – Legal AI Customer Analytics |
| Location | Bengaluru |
| Work mode | Hybrid |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
Thomson Reuters is hiring a Senior Data Scientist in Bengaluru for its Data and Analytics team, which supports the company's Legal AI products. The goal is to use data to win, keep and grow customers.
You will build churn, propensity and classification models and create GenAI and LLM solutions, including AI agents. Web scraping and data enrichment help find new customer opportunities. Findings are shared through dashboards and presentations. The role is hybrid.
Eligibility
- 2-4 years of data science experience
- Strong Python, SQL and machine learning
- Hands-on Generative AI: LLMs, prompt engineering and AI agents
- Experience with AWS and Amazon SageMaker
- Bachelor's or master's in a quantitative subject
Skills required
What you will do
- Build propensity, churn and classification models
- Create GenAI and LLM solutions, including AI agents
- Use scraping and enrichment to spot new customer leads
- Turn customer data into clear business insights
- Deploy models and present results through dashboards
How to apply
- Open the official Thomson Reuters job page with the Apply button and submit your application there.
- Tailor your resume to models that changed a sales or retention decision, and any LLM or agent work you have shipped.
Before the interview, prepare:
- Churn and propensity models: features, class imbalance and evaluation metrics
- LLM basics: prompting, RAG and how you test agent output
- SageMaker: training jobs, endpoints and pipelines
- Explaining a model's business impact to non-technical people
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