Senior Data Scientist
London Stock Exchange Group (LSEG)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro Bangalore, and popular mid-level Data Scientist title attract many qualified applicants.
Strong ML skills transferable, but finance domain knowledge and Refinitiv/LSEG familiarity increase sensitivity.
Explicit 6–8 years requirement plus mandatory NLP/LLM, MLOps, cloud, and Python production experience.
Job Description
Structured overview of role & requirementsAbout This Role
Own the product vision and execution for a data management framework covering data acquisition, cleaning, transformation, and workflows leveraged in financial analytics.
Support Lead Data Scientist in the AI/ML lifecycle including problem definition, design, experimentation, deployment, and ongoing improvement of production-grade AI models.
Collaborate with operations, engineering, and domain experts to design and deliver scalable, integrated data analytics pipelines and solutions aligned with business strategies.
Minimum Requirements
6–8 years of experience in data science, analytics, or statistical modelling roles.
Master's degree in Statistics, Mathematics, Computer Science with Data Science certification, or Engineering degree specializing in Data Science/AI.
Strong expertise in Python and ML/DL libraries (TensorFlow, PyTorch, Scikit-learn) and proven experience in developing and productionizing AI models.
Experience with cloud platforms (AWS and/or Azure), MLOps principles, Git-based version control, CI/CD pipelines, and advanced NLP techniques including LLMs and RAG workflows.
Ideal Candidate Profile
Experienced in financial services or investment banking environments, familiar with financial data workflows and ideally Refinitiv or LSEG products.
Skilled at bridging business and technical domains, with a strategic focus on integrating data science solutions within operations and product frameworks.
Comfortable engaging with senior stakeholders and collaborating effectively across distributed, cross-functional teams to deliver business impact.