Overview
Analyst - Data Science role in the Enterprise Data & Analytics team, leading machine learning and data science solutions for the Fidelity business.
What you'll do
- Design, build, and deploy ML models on cloud and on-prem platforms, using tools such as AWS SageMaker, Snowflake, Adobe and Salesforce.
- Help shape and deliver GenAI capabilities and build agentic workflows that can safely orchestrate tools and data.
- Collaborate closely with business stakeholders, data engineers and technology teams to translate complex challenges into scalable AI solutions.
- Champion the adoption of cloud-based analytics and contribute to MLOps best practices.
- Support the team through mentorship and knowledge sharing.
What you'll need
- 4–7 years of experience working in the data science domain.
- Strong track record of delivering advanced machine learning solutions for business.
- Skilled in developing models for classification, forecasting and recommender systems.
- Hands-on experience with Scikit-learn, TensorFlow or PyTorch.
- Strong experience developing and deploying models on AWS SageMaker.
- Solid SQL/data skills.
- Ability to partner effectively with stakeholders to frame problems and define success metrics.
- Familiarity with emerging GenAI patterns (e.g., prompt engineering, embeddings, vector search, and RAG).
- Exposure to building agentic workflows using LangChain/LangGraph or similar orchestration frameworks.
- Appreciation for governance, monitoring and production reliability.
Nice to have
- A background in engineering, mathematics or economics from a Tier 1 institution.
- Hands-on experience with LangChain, LangGraph or similar frameworks.
Details
- Location: Gurgaon.
- Job type: Permanent.
- Application deadline: 10 November 2026.
- Level: Data Scientist 4.
Read the full description and apply on the company’s own careers page.