Senior Data Scientist

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

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