Senior Data Scientist

Burns Sheehan
London
3 weeks ago
Applications closed

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Senior Data Scientist

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist


đź“Ť Remote (UK) | Occasional Travel to London | Full-Time

đź’° Salary: up to ÂŁ95,000


We’re working with a business who are building an AI-powered platform that helps brands activate their happiest customers through intelligent referral journeys, reward automation, and predictive modelling. As we expand our generative AI and experimentation capabilities, we’re hiring a full-stack Senior Data Scientist who loves solving ambiguous problems, prototyping fast, and turning data into meaningful product experiences.


🔍 What You’ll Work On


In this role, you’ll be hands-on across the full data science lifecycle—from idea to prototype to production. If you enjoy wearing multiple hats and working in fast-moving, high-growth environments, you’ll thrive here.

You’ll work on projects such as:

  • Prototyping generative AI applications and scalable LLM-powered tools
  • Designing and running experiments and A/B tests to validate new ideas
  • Conducting consumer behaviour and segmentation research
  • Developing causal models to understand the drivers of customer advocacy and business growth
  • Building “imperfect,” rapid prototypes to explore product-market fit


This is a Senior IC role—ideal for someone who wants to stay hands-on and move fast.


🎯 What We’re Looking For


We’re looking for a generalist, not a narrow specialist—someone comfortable with modelling, experimentation, prototyping, and cross-functional collaboration.

You’re a great fit if you:

  • Have strong experience with ML and generative AI/LLM development
  • Love rapid experimentation and hypothesis-driven prototyping
  • Are comfortable operating in uncertainty and evolving problem spaces
  • Have startup, scaleup, or high-growth experience
  • Can manage multiple projects and context-switch easily
  • Communicate clearly with both technical and non-technical audiences
  • Bring an entrepreneurial mindset and enjoy turning data into product value


Nice to have:

  • E-commerce or consumer behaviour experience (e.g., rapid growth environments)
  • Familiarity with GANs, VAEs, causal inference, or rapid prototyping frameworks
  • Non-linear or multidisciplinary career paths


🚀 Why Join

  • Work on cutting-edge AI innovation: LLMs, generative AI, behavioural modelling, causal inference
  • Shape new product capabilities in a fast-growing category
  • Move quickly, experiment often, and influence product direction
  • Join a curious, collaborative team that values creativity and learning
  • Remote-first flexibility, with occasional in-person collaboration in London


🧪 Interview Process

  1. Initial Conversation (45–60 mins)
  2. Take-home Technical Exercise + Presentation
  3. Final Interview with Leadership (45 mins)

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