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Senior Data Scientist (GenAI)

Argus·Salary not specified

Primary stack

PythonLangGraphRAGSQL

Job description

About the Position

Help shape the future of AI at Argus. Build agentic applications, RAG and enterprise search solutions that turn corporate data into intelligent, scalable business outcomes.

We usually respond within a week

Responsibilities

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.

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.

Nice to Have

  • Experience with GraphRAG or knowledge graph-based retrieval
  • Entity resolution
  • LLM evaluation
  • Enterprise data platforms
  • Microsoft Copilot Studio

We Offer

  • 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

About the Company

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.

Headquartered in London with 1,500 staff, Argus is an independent media organisation with 32 offices in the world’s principal commodity trading hubs.

Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.

Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

© Argus. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Argus is a fast-growing global B2B media company providing essential information on commodity markets. As a business, we continue to grow and evolve, adding new markets, new services, new delivery options and improved analytical tools.About Argus MediaArgus is an independent media organisation with more than 1050 staff. It is headquartered in London and has 23 offices in the world’s principal commodity trading and production centres. Argus produces price assessments and analysis of international energy and other commodity markets, and also offers bespoke consulting services and industry leading conferences.Companies in 140 countries around the world use Argus data to index physical trade and as benchmarks in financial derivative markets as well as for analysis and planning purposes. Half of Argus employees are commodity journalists who specialise in reporting news and price information relating to physical energy and related commodity markets. They operate according to a rigorous Editorial Code of Conduct and a Compliance and Ethics Policy that align with best journalistic practice, including the avoidance of conflicts of interest. Argus was founded in 1970 and is a privately held UK-registered company. It is owned by staff shareholders and global growth equity firm General Atlantic.

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