Analyst - Data Science
Fidelity International (company site, opens in a new tab)4–7 yrsGurugramOn-siteDirect career pageEst. 20–40 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development and deployment of machine learning and data science solutions to drive business growth and enhance client experiences.
- Design, build, and deploy ML models on cloud/on-prem platforms (AWS SageMaker, Snowflake, Adobe, Salesforce) and develop GenAI capabilities including agentic workflows using frameworks like LangChain and LangGraph.
- Collaborate with business stakeholders, data engineers, and technology teams to translate challenges into scalable AI solutions and promote MLOps best practices.
Minimum Requirements
- 4–7 years of experience in data science with proven delivery of advanced machine learning solutions.
- Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch and deploying models on AWS SageMaker.
- Strong SQL and data skills, plus familiarity with GenAI patterns (prompt engineering, embeddings, vector search, RAG).
- Work Experience Required: 4–7 years in data science domain. No explicit notice period mentioned.
Ideal Candidate Profile
- Experienced in building and deploying scalable machine learning and AI solutions in an enterprise environment with direct business impact.
- Familiar with advanced generative AI technologies and orchestration frameworks (LangChain, LangGraph) including governance and monitoring considerations.
- Educational background preferably in engineering, mathematics, or economics from a Tier 1 institution.