At a Glance
- Tasks: Join the Growth Team to develop predictive models and analyse complex datasets.
- Company: Capital on Tap, a fast-growing fintech helping small businesses thrive.
- Benefits: Private healthcare, sabbaticals, learning budget, and dog-friendly offices.
- Other info: Hybrid role in London with excellent career development opportunities.
- Why this job: Make a real impact on customer growth while working with cutting-edge data science tools.
- Qualifications: Strong analytical skills and experience in Python and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
About Capital on Tap
Capital on Tap was founded to address the challenges faced by small businesses when accessing financial services. Our platform offers a best‑in‑class business credit card, a spend management solution tailored to SMEs, a savings product that reached £1 billion in its first year, and a suite of additional tools that help small businesses thrive. With more than 1,000 employees, £20 bn in annual card spend and over 200,000 customers, we are profitable and growing quickly.
Location & Role Type
This hybrid position is based in our London (Moorgate) office, with onsite work three days a week.
Growth Team – Role Overview
You will join the Growth Team, reporting to the Head of Growth. The mission is to increase customer acquisition, activation and retention across our customer base.
Responsibilities
- Develop and maintain predictive models that influence strategy across acquisition, activation and retention.
- Interpret commercial levers within the growth team and determine how predictive models can improve them.
- Analyze complex datasets to uncover hidden opportunities and support smarter decision‑making.
- Translate complex analyses into simple, compelling stories that align stakeholders.
- Collaborate with a wide range of stakeholders to ensure seamless implementation of data science solutions.
- Research and advise on the latest data science tools and techniques.
Qualifications
- Strong analytical and quantitative skills with the ability to translate findings into clear recommendations.
- 2+ years of experience building statistical models in Python and manipulating data in SQL.
- Degree with a 2:1 or higher in a quantitative field from a top university.
- Track record of taking ownership, managing time independently and exercising good judgement.
- Comfortable working autonomously in a fast‑moving environment.
Preferred
- 2–4 years of experience in top‑tier consulting or a high‑growth startup.
- First‑class degree in a quantitative field from a top university.
- Understanding of and interest in applying a commercial lens to data science problems.
Nice to Have
- Familiarity with DBT, Snowflake, Looker, Hex, Azure DevOps.
- Background in marketing, credit or financial services.
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 let us know.
Benefits
- Private healthcare through Vitality, including dental and optician services.
- Worldwide travel insurance through Vitality.
- Access to a reproductive and hormonal health platform.
- Anniversary rewards ranging from £250 to £750 and a fully paid four‑week sabbatical.
- Salary sacrifice pension scheme with up to 7% employer 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.
- Six free therapy sessions per year.
- Dog‑friendly offices.
- Free drinks and snacks in the office.
If you’re excited to work here, apply online. We aim to respond within three working days.
Data Scientist (Growth Team) London employer: Capital on Tap
At Capital on Tap, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. Our London office fosters a collaborative and innovative work culture, where data scientists can thrive while contributing to meaningful projects that empower small businesses. With a comprehensive benefits package, including private healthcare, generous holiday allowances, and unique perks like a dog-friendly environment and sabbaticals, we are committed to supporting your professional development and personal happiness.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Growth Team) London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capital on Tap.
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We think you need these skills to ace Data Scientist (Growth Team) London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital on Tap, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital on Tap. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital on Tap
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital on Tap!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
