Senior Data Scientist
LSEG (London Stock Exchange Group) (company site, opens in a new tab)6–8 yrsBengaluruOn-siteDirect career pageEst. 22–40 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the product vision and delivery of a data management framework encompassing data acquisition, cleaning, transformation, and analytics workflows for financial data.
- Support end-to-end AI/ML lifecycle including design, experimentation, deployment, and continuous improvement aligned with financial analytics needs.
- Collaborate with operations, engineering, and analytics experts to translate business data needs into integrated platforms and maintain forward-looking strategies through market trend awareness.
Minimum Requirements
- 6-8 years of experience in data science, analytics, or statistical modelling roles.
- Master’s degree in Statistics, Mathematics, Computer Science, or Engineering specializing in Data Science/AI, with proficiency in Python, R, and SQL.
- Strong expertise in NLP, deep learning, LLMs, RAG workflows, Python, and core ML/DL libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience deploying AI solutions on cloud platforms (AWS and/or Azure) and use of Git-based version control and CI/CD pipelines.
Ideal Candidate Profile
- Experienced in designing financial analytics data solutions with a strong focus on AI/ML model development, tuning, and production deployment.
- Capable of leading technical execution collaboratively with engineering, project delivery, and analytics domain experts in a distributed, global, or financial services environment.
- Skilled at communicating complex technical concepts clearly to diverse stakeholders including senior management and executives.