Senior Data Scientist – First-Party Customer Data
Listed on 2026-10-26
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst, Data Scientist
Senior Data Scientist – First-Party Customer Data
Salary negotiable up to £75,000 DOE + benefits
This client is not able to consider Graduate, Post Study or Skilled Worker visas unfortunately.
Build AI-powered products that turn customer data into commercial impact.
Join an established analytics and technology business developing cutting-edge SaaS products and bespoke AI solutions for major brands across retail, finance, travel, telecoms and healthcare.
With two live products and further AI solutions in development, this is an opportunity to work on applied data science that delivers tangible business results.
The RoleReporting to the CTO, you’ll own end-to-end data science projects, developing and deploying machine learning models that drive better customer and commercial outcomes.
You’ll work across:
- Customer segmentation, propensity modelling and churn prediction.
- Revenue and demand forecasting.
- Python-based modelling, feature engineering and model validation.
- Production deployment, cloud infrastructure and MLOps.
- Translating complex analysis into actionable commercial insights.
- Collaborating with product, engineering and client teams to develop AI-powered solutions.
- 4–5 years’ experience in data science or advanced analytics.
- Experience analysing large volumes of first-party customer data
, ideally within an agency, retail or insurance environment. - Strong Python, SQL and Jupyter skills.
- Hands-on experience with customer segmentation, propensity modelling and forecasting.
- Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment.
- Commercially minded, with strong communication and stakeholder management skills.
Experience in a consultancy or agency environment would be advantageous. Cloud experience is welcome, but no specific platform is required.
- Work on cutting-edge, applied AI and machine learning.
- Build products used by major brands across multiple sectors.
- Take ownership of meaningful projects and influence the development of a growing data science team.
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