Job Description

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 * Initial Conversation (45-60 mins)

• Take-home Technical Exercise + Presentation
• Final Interview with Leadership (45 mins)

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Skills Required