Senior Data Scientist

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£70,000 – £90,000 pa

Salary

£70,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

35 days annual leave including bank holidays £500 annual wellbeing budget Up to £1,500 home office setup budget Company pension contribution at 3 percent
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Senior Data Scientist

London
£70,000 to £90,000 plus benefits

This is an exciting opportunity to join a high-growth tech business where data science sits at the heart of product innovation. You will shape new AI-driven capabilities, work with cutting-edge machine learning, and help transform how customers understand and prevent complex digital challenges.

The Company

They are a fast-scaling SaaS organisation operating at the intersection of AI, machine learning, and real-time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering.

The Role

  • Lead the end-to-end development of new ML and AI capabilities, from rapid prototyping through to production deployment.
  • Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life.
  • Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact.
  • Work with large-scale datasets in cloud environments to deliver robust, scalable systems.
  • Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision-making.

Your Skills and Experience

  • Strong experience delivering production-grade ML systems end to end.
  • Proficiency in Python and SQL, with experience working on cloud-scale datasets.
  • Practical experience with LLMs and applied AI, such as RAG, agents, or NLP.
  • Experience building customer-facing or product-centric ML systems.
  • A product-focused mindset, balancing experimentation with real-world value.

Useful additional experience includes:

  • AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift).
  • MLOps practices (monitoring, deployment, optimisation).
  • Working with streaming data, transformer models or recommendation systems.

What They Offer

  • £70,000 to £90,000 salary.
  • Hybrid working with two days onsite.
  • 35 days annual leave including bank holidays.
  • £500 annual wellbeing budget.
  • Up to £1,500 home office setup budget.
  • Company pension contribution at 3 percent.

How to Apply

If you are interested in this Senior Data Scientist opportunity, please apply with your CV or email me at

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