Senior Data Scientist

About the role

The role combines strong applied data science foundations with hands-on delivery using commonly used technology ecosystems, including Anthropic Claude on AWS Bedrock, Claude Code, Microsoft Copilot, GitHub Copilot and related frameworks and observability tools. You will partner with Data & Analytics leaders and cross-functional teams to design and deliver scalable, secure, and compliant AI solutions in enterprise environments.

What you'll do

• Agentic AI Solution Design and Delivery
• Lead the design, development and testing of single-agent and multi-agent solutions using LLMs, prompt and context engineering, retrieval-augmented generation (RAG)
• Translate business problems into agent goals, workflow logic, system interactions, acceptance criteria, exception handling and human-in-the-loop controls
• Integrate agents with enterprise platforms, APIs, MCP servers, databases, SaaS applications and governed data sources to enable secure end-to-end workflow execution
• Build and optimise retrieval, grounding, memory and orchestration patterns that improve accuracy, traceability and task completion

What you need

• 6–11 yrs of experience
• Machine learning
• SQL
• Python
• LLMs
• AWS
• Statistics
• B.Tech or B.E. or B.Sc or BCA

Good to have

• NLP
• Office 365
• MLOps
• Git
• CI/CD
• Regression testing