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