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Analyst - Data Science

Fil
NewPosted today

LOCATION

Gurgaon Office · Onsite

EXPERIENCE

4 - 7 Years

TYPE

FullTime

SKILLS REQUIRED

Machine LearningPythonPredictive AnalyticsSQLAWS SagemakerSciKit-learnTensorFlowPytorchSnowflake

Job description

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.

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Analyst - Data Science