Senior Data Scientist – Personalisation
London – Hybrid
Up to £65,000
About the Role
We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience.
As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience.
Key Responsibilities
* Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention.
* Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation.
* Develop and maintain advanced analytical models to forecast customer outcomes and measure impact.
* Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making.
* Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation.
What We’re Looking For
* Strong analytical foundation with experience applying statistics and data science in a commercial setting.
* Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value.
* Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling.
* Ability to communicate complex findings in a clear, business-relevant way.
* Experience working collaboratively in agile, cross-functional teams.
Please note: Unfortunately this role cannot offer sponsorship.