Senior GenAI Data Scientist - Agentic Data & Retrieval

Argus Media group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Group pension

Healthcare

Hybrid work (1 day in office)

25 days holiday

Gym membership

Season ticket loan

Cycle to work

Flexible benefits

Training

Job summary

Argus is hiring a Senior Data Scientist to join our Generative AI team in the UK. The role focuses on building agentic capabilities and secure data access for AI workflows, in collaboration with data scientists and engineers.

You'll work on MCP servers, LangGraph-based agents, and advanced retrieval techniques to enable internal research and automation. Hybrid working with one day in the office.

We value production-grade Python, data pipelines, cloud experience, and strong collaboration.

Qualifications

• Proven experience building production GenAI applications.
• Hands-on with LangGraph and agentic tooling.
• Experience with MCP servers and retrieval systems.
• Strong SQL and data warehouse experience.
• Experience shipping GenAI solutions to production.
• Cloud platforms (Azure/AWS/GCP) experience; Docker.

Responsibilities

• Develop reusable tools enabling AI agents to securely access and use corporate data.
• Build semantic, vector and hybrid retrieval across structured and unstructured data.
• Create MCP servers, APIs and tooling for reliable agent interaction.
• Develop agentic applications using LangGraph for research and automation.
• Transform and index data for AI readiness.
• Evaluate and optimize tools and retrieval systems for performance.
• Deliver production-quality Python services and data pipelines.
• Collaborate with data scientists, engineers and business teams.

Skills

Python

GenAI

LangGraph

MCP servers

RAG

Semantic search

SQL

Cloud

Docker

Collaboration

Tools

LangGraph

Docker

APIs

Python tooling

Job description

Argus is hiring a Senior Data Scientist to join our Generative AI team in the UK. The role focuses on building agentic capabilities and secure data access for AI workflows, in collaboration with data scientists and engineers.

You'll work on MCP servers, LangGraph-based agents, and advanced retrieval techniques to enable internal research and automation. Hybrid working with one day in the office.

We value production-grade Python, data pipelines, cloud experience, and strong collaboration.