VP_Data Scientist

Additional Job Description

Join us as a “Data Scientist - Markets Sales Technology” at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.

To be successful as a “Data Scientist - Markets Sales Technology”, you should have experience with:

Basic/ Essential Qualifications:

• Designing, developing, and deploying advanced analytics and Machine Learning solutions across Markets use cases such as pricing, risk, forecasting, client analytics, liquidity, operational efficiency, or surveillance.
• Identification, collection, extraction, and preparation of data from diverse internal and external sources, ensuring high data quality and analytical integrity.
• Building and maintaining scalable data pipelines and analytical workflows in partnership with Data Engineering and Platform teams.
• Developing predictive, statistical, and machine learning models and translating analytical outputs into actionable business insights.
• Applying GenAI techniques such as natural language processing, document intelligence, retrieval‑augmented generation (RAG), and decision‑support use cases.
• Strong stakeholder engagement with senior business, technology, risk, and control partners, with the ability to communicate complex concepts clearly and influence outcomes.
• Operating effectively in regulated, enterprise environments with strong awareness of data governance, model risk management, and control frameworks.
• Leading complex, cross‑functional initiatives and guiding other data scientists and specialists as a senior individual contributor or technical lead.

Desirable skillsets/ good to have:

• Experience within Banking, Finance, or Capital Markets environments.
• Strong programming skills in Python and SQL, with experience using modern analytics and machine learning frameworks.
• Hands‑on experience delivering analytics or ML solutions into production environments, including performance monitoring and lifecycle management.
• Familiarity with Enterprise Data Platforms, cloud‑based analytics ecosystems, and MLOps / AI governance practices.
• Ability to balance strategic thinking with hands‑on technical execution.

This role is based out of Mumbai.