Job Description
Senior Data Scientist
Remote (UK) | Occasional Travel to London | Full-Time
Salary: up to £95,000
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)