Senior Data Scientist
Burns Sheehan
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
Base pay range Direct message the job poster from Burns Sheehan
Remote (UK) | Occasional Travel to London | Full-Time
Salary: up to £95,000
We’re working with a business which builds an AI-powered platform that helps brands activate their happiest customers through intelligent referral journeys, reward automation, and predictive modelling. As they 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.
We’re looking for a generalist, not a narrow specialist—someone comfortable with modelling, experimentation, prototyping, and cross‑functional collaboration.
Love rapid experimentation and hypothesis‑driven prototyping
Are comfortable operating in uncertainty and evolving problem spaces
Have startup, scale‑up, 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
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
Initial Conversation (45–60 mins)
Take‑home Technical Exercise + Presentation
Final Interview with Leadership (45 mins)
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Technology, Information and Media and Broadcast Media Production and Distribution
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Languages
- English
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