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Data Scientist Growth Team

🏒This is a Hybrid role, working from our London (Moorgate) Offices 3 days per wπŸ’Ό Full-timeπŸ—“ 2026-07-30

Core

Building predictive models to drive customer acquisition, activation, and retention strategies across the entire customer lifecycle.

Role type

Data Scientist (Growth)

Builds

Predictive models and data-driven growth strategies

Domain

Fintech / Financial Services

Deliverable

production ML models

Required skills

Python, SQL, statistical modeling, data analysis, commercial acumen

Preferred skills

Consulting or high-growth startup experience, 1st-class quantitative degree

Technologies

Python, SQL

Responsibilities

Develop and maintain predictive models influencing customer lifecycle strategy; evaluate complex datasets to identify growth opportunities; translate analysis into actionable recommendations; collaborate with stakeholders to implement solutions; explore and advise on latest data science tools and techniques.

Seniority

Mid-level, hands-on IC

Rewrite
## About the role This is a Hybrid role, working from our London (Moorgate) Offices 3 days per week. ## About the company Growth Team at Capital on Tap You'll join the Growth Team, reporting to our Head of Growth. The team's mission is to increase customer acquisition, activation and retention across our book of customers. ## Responsibilities - Developing and maintaining predictive models that influence our strategy across the entire customer lifecycle; acquisition, activation and retention. - Understanding the commercial levers within the growth team and how predictive models help to improve them. - Evaluating complex datasets to find hidden opportunities and help us make smarter decisions. - Turning complex analysis into simple, compelling stories that get everyone on the same page. - Collaborating with a wide range of stakeholders to ensure seamless implementation of your solutions. - Exploring and advising on the latest tools and techniques in data science to help us stay ahead of the curve. ## Requirements - Strong analytical and quantitative skills with the ability to translate findings into clear recommendations. - 2+ years experience building statistical models in Python and extracting/manipulating data in SQL. - 2:1 or higher in a quantitative degree from a top university. - Someone who takes ownership of their work, manages their time independently, and uses good judgement to decide what matters. - Comfortable working autonomously in a fast-moving environment. ## Nice to have - 2-4 years' experience in top-tier consulting or a high-growth startup. - 1st-class degree in a quantitative field from a top university. - Understanding of and interest in how to apply a commercial lens to Data Science problems. ## What we offer - Private Healthcare including dental and opticians services through Vitality - Worldwide travel insurance through Vitality - Access to a reproductive and hormonal health platform via Hertility - Anniversary Rewards (Β£250, Β£500, Β£750, 4-week fully paid sabbatical) - Salary Sacrifice Pension Scheme up to 7% match - Octopus EV Salary Sacrifice Scheme - 28 days holiday (plus bank holidays) - Annual Learning and Wellbeing Budget - Enhanced Parental Leave - Cycle to Work Scheme - Season Ticket Loan - 6 free therapy sessions per year - Dog Friendly Offices - Free drinks and snacks in our offices ## Diversity & Inclusion We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. If you need any adjustments to the application or interview process, please just let us know.
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