Senior Data Scientist

This range is provided by Burns Sheehan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Burns Sheehan

📍 Remote (UK) | Occasional Travel to London | Full-Time

💰 Salary: up to £95,000

We’re working with a business which builds an AI-powered platform that helps brands activate their happiest customers through intelligent referral journeys, reward automation, and predictive modelling. As they 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.

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.

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

• 
  
• Love rapid experimentation and hypothesis‑driven prototyping
  
• Are comfortable operating in uncertainty and evolving problem spaces
  
• Have startup, scale‑up, 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
  

• 
  
• 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
  
• 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
  
• Initial Conversation (45–60 mins)
  
• Take‑home Technical Exercise + Presentation
  
• Final Interview with Leadership (45 mins)
  

Mid‑Senior level

Full‑time

Information Technology

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