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About the Role
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.
Responsibilities
- Help develop reusable tools that enable AI agents to securely discover, retrieve and use corporate data, including data held within our corporate data warehouse.
- Develop semantic, vector and hybrid retrieval capabilities across structured and unstructured enterprise data.
- Build MCP servers, APIs and reusable tools that allow AI agents to interact reliably with data and services.
- Develop agentic applications using LangGraph, combining tools, retrieval and LLM reasoning to solve complex research and automation problems.
- Work with the team to transform, enrich and index data for effective use by AI systems.
- Evaluate and improve the quality, reliability and performance of tools, retrieval systems and agents.
- Contribute to production-quality Python services, data pipelines and integrations using strong software engineering practices.
- Work closely with data scientists, engineers, automation specialists, architecture and business teams to develop scalable GenAI solutions.
Requirements
- 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.
Skills
- Generative AI
- Agentic systems
- Python
- Software engineering
- LangGraph
- Model Context Protocol (MCP)
- RAG
- Semantic search
- Embeddings
- Vector databases
- SQL
- Cloud platforms (Azure, AWS, Google Cloud)
- Docker
- GraphRAG
- Knowledge graph-based retrieval
- Entity resolution
- LLM evaluation
- Enterprise data platforms
- Microsoft Copilot Studio
Location
- Hybrid
Work Type
- Hybrid working environment (currently one day in office)
Experience Level
- Senior
Salary/Compensations
- Competitive salary
Benefits
- Company bonus scheme
- Group pension scheme
- Group healthcare and life assurance scheme
- 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
About the Company
- 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.