Senior Data Scientist (GenAI)

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

What we're looking for

Join our Generative AI team to help shape how AI is used across Argus. We are looking for an experienced Senior Data Scientist with strong hands-on experience in Generative AI and agentic systems. Working alongside other data scientists and engineers, you will help build the tools and data capabilities that allow AI agents to securely access, understand and use data.

A key initial focus will be creating reusable search, retrieval and agentic capabilities that enable sophisticated internal research and automation using corporate data. You will also contribute to the wider development of GenAI capabilities as our technology and use cases evolve.

What will you be doing?

As part of a multidisciplinary GenAI team, you will:

• Agentic Data Access: Help develop reusable tools that enable AI agents to securely discover, retrieve and use corporate data, including data held within our corporate data warehouse.
• Search & Retrieval: Develop semantic, vector and hybrid retrieval capabilities across structured and unstructured enterprise data.
• MCP & Agent Tooling: Build MCP servers, APIs and reusable tools that allow AI agents to interact reliably with data and services.
• Agent Development: Develop agentic applications using LangGraph, combining tools, retrieval and LLM reasoning to solve complex research and automation problems.
• AI-Ready Data: Work with the team to transform, enrich and index data for effective use by AI systems.
• Evaluation & Optimisation: Evaluate and improve the quality, reliability and performance of tools, retrieval systems and agents.
• Technical Delivery: Contribute to production-quality Python services, data pipelines and integrations using strong software engineering practices.
• Collaboration: Work closely with data scientists, engineers, automation specialists, architecture and business teams to develop scalable GenAI solutions.

Skills and Experience

• Strong Python and software engineering skills, with experience building production-quality GenAI applications, services or tooling.
• Hands-on experience building agentic applications using LangGraph.
• Practical experience developing Model Context Protocol (MCP) servers and tools for AI agents.
• Strong experience with RAG, semantic search, embeddings, vector databases and modern retrieval techniques.
• Strong SQL skills and experience working with structured data, data warehouses and APIs.
• Experience taking GenAI solutions from experimentation through to production.
• Practical experience with cloud platforms such as Azure, AWS or Google Cloud and technologies such as Docker.
• Strong problem-solving, communication and collaboration skills.

Experience with GraphRAG or knowledge graph-based retrieval, entity resolution, LLM evaluation, enterprise data platforms or Microsoft Copilot Studio would be an advantage.

What’s in it for you

Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.

• Competitive salary and company bonus scheme
• Group pension scheme
• Group healthcare and life assurance scheme
• Hybrid working environment (currently one day in office)
• 25 days annual holiday with incremental increase up to 30 days
• Subsidised gym membership
• Season ticket travel loan
• Cycle to work scheme
• Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening)
• Extensive internal and external training