Analyst - Data Science
- Location Gurgaon Office
- Experience 4-7 yrs
- Job type Full-time
- Posted 8 Oct 2026
You will be taken to Fidelity International India’s own careers page to apply. Job ID J70565.
Job description
About the Opportunity Job Type: Permanent
Application Deadline: 16 October 2026
Job Description
Title Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Level Data Scientist 4
We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger.
About your team Join the Enterprise Data & Analytics team — collaborating across Fidelity’s global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making.
About your role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity business. This role is designed to turn advanced analytics into real-world impact—driving growth, enhancing client experiences, and informing high-stakes decisions. You’ll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc.
You will also help shape and deliver GenAI capabilities and build agentic workflows that can safely orchestrate tools and data. Hands-on experience with frameworks like LangChain, LangGraph etc. will be valuable to build these multi-step AI systems.
Collaborating closely with business stakeholders, data engineers, and technology teams, you’ll translate complex challenges into scalable AI solutions. You’ll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes.