Data Scientist

Harnham - Data & Analytics Recruitment
London
4 days ago
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Data Scientist

Brighton, hybrid one day per week.

Salary between £55,000 - £65,000.

This is a great opportunity to join a fast-growing team building a cutting-edge generative AI product already live with commercial customers. You will work end to end across modelling, experimentation and deployment, shaping how AI features are built and delivered in production.

The Company

They are a scaling, product-driven technology business with strong investment backing and a focus on applied generative AI. Their flagship AI product is already in market with growing customer adoption, and they are expanding the team to accelerate capability. You will join a collaborative cross functional unit working across engineering, product and data.

The Role

  • Develop and deploy production grade Python and deep learning models.
  • Build NLP and LLM features including embeddings, intent detection and conversational AI.
  • Contribute to end to end pipelines using cloud services, microservices and containerisation.
  • Experiment with advanced techniques including reinforcement learning and RAG workflows.
  • Collaborate closely with engineering and product on delivery and performance.
  • Present work clearly in team sessions and contribute to technical decision making.

Your Skills and Experience

  • Strong Python skills and experience deploying ML models into production.
  • Hands on experience with LLMs, NLP, embeddings and conversational AI.
  • Practical experience with deep learning frameworks and cloud environments.
  • Exposure to microservices, Docker and good engineering practices.
  • Confident communicator able to explain technical thinking clearly.
  • Background working in an AI focused role, ideally with a STEM degree.

What They Offer

  • Competitive base salary.
  • Private medical and full benefits package.
  • On site parking.
  • One day per week in the Brighton office with flexibility.
  • High ownership role with impact across modelling, deployment and experimentation.

How to Apply

If you are interested in this opportunity, please apply below or email me at

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