Data Science Analyst

Fidelity International; Gurugram District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Fidelity International is seeking an Analyst - Data Science in Gurgaon to lead ML and data science initiatives across the Enterprise Data & Analytics team. You will translate complex business problems into scalable AI solutions, designing, building, and deploying models on cloud and on-prem platforms.

Bring 4-7 years of experience, proficiency in Scikit-learn, TensorFlow, PyTorch, and SageMaker, and a solid foundation in SQL and data engineering.

Qualifications

• 4-7 years of data science experience with proven ML solutions.
• Experience with classification, forecasting, and recommender systems; proficiency in Scikit-learn, TensorFlow, or PyTorch.
• Experience deploying models on AWS SageMaker; strong SQL and data skills.
• Familiar with GenAI patterns (prompting, embeddings) and orchestration frameworks like LangChain/LangGraph; governance and production reliability awareness.

Responsibilities

• Lead development of ML and data science solutions for Fidelity business.
• Design, build, and deploy ML models on cloud and on-prem platforms.
• Shape GenAI capabilities and agentic workflows; collaborate with stakeholders.
• Contribute to MLOps best practices and mentor teammates.

Skills

Data science

ML model development

Python

SQL

Education

Engineering background

Mathematics

Economics (Tier 1)

Tools

AWS SageMaker

Snowflake

LangChain

LangGraph

Job description

Analyst - Data Science

About the Opportunity Job Type: Permanent Application Deadline: 10 November 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.

About you

You have 4-7 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You're skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring strong experience in developing and deploying models on AWS SageMaker, solid SQL/data skills, and the ability to partner effectively with stakeholders to frame problems and define success metrics. You are familiar with emerging GenAI patterns (e.g., prompt engineering, embeddings, vector search, and RAG) and have exposure to building agentic workflows using LangChain/LangGraph or similar orchestration frameworks, with an appreciation for governance, monitoring, and production reliability. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred.

Feel rewarded

For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work - finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.