Data Science Manager
25 Days Old
Job Description
Data Science Manager
London – Hybrid
Up to £80,000
About the Role
We’re working with an fintech that’s transforming how people think about saving and investing. Their mission is to simplify financial wellbeing through technology - building products that help millions of people make smarter, more confident financial decisions.
As a Data Science Manager, you’ll lead Data Science projects within the data team, with the idea to work towards people management. You'll play a key part in shaping how customer data informs decision-making at scale.
Key Responsibilities
- Lead and develop a team of data scientists, providing technical guidance and strategic direction.
- Partner with senior stakeholders to identify opportunities for data-driven improvement in customer engagement, retention, and product experience.
- Oversee the design, development, and delivery of advanced analytical models and insights that support business growth.
- Translate complex data into clear, actionable recommendations that drive commercial impact.
- Collaborate closely with BI and Data Engineering teams to ensure reliable data foundations and scalable analytical solutions.
- Champion the use of data science across the organisation, embedding a culture of evidence-based decision-making.
What We’re Looking For
- Strong grounding in statistics, mathematics, and applied data science.
- Proven experience leading analytics or data science projects from conception to delivery.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation.
- Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value.
- Track record of working in agile, cross-functional environments and delivering measurable impact.
- Excellent communication and stakeholder management skills, with the ability to influence non-technical audiences.
Please note: This role cannot offer sponsorship
- Location:
- London
- Job Type:
- FullTime
- Category:
- Technology
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