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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)

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.