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, 28 days holiday, sabbaticals, and a dog-friendly office.
- 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: 2+ years in data science, strong analytical skills, and a degree in a quantitative field.
The predicted salary is between 50000 - 70000 £ 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.
Apply
If you’re excited to work here, apply online. We aim to respond within three working days.
Data Scientist (Growth Team) New London employer: Capital on Tap
At Capital on Tap, we pride ourselves on being an exceptional employer that champions the growth and development of our employees. Our London (Moorgate) office fosters a collaborative and inclusive work culture, offering a hybrid work model that balances flexibility with team engagement. With comprehensive benefits including private healthcare, generous holiday allowances, and a commitment to employee wellbeing, we empower our Data Scientists to thrive while making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Growth Team) New London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common data science questions. We recommend using real datasets to showcase your analytical skills. Show them what you've got!
✨Tip Number 3
Don’t just talk about your technical skills; share stories that highlight your problem-solving abilities. We love seeing how you’ve tackled challenges in the past!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we aim to respond within three working days, so you won’t be left hanging!
We think you need these skills to ace Data Scientist (Growth Team) New London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with predictive models and data analysis, and don’t forget to mention any relevant tools like Python and SQL. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our Growth Team. Keep it concise but engaging – we love a good story that connects your experience to our goals.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical and quantitative skills. Provide examples of how you've used data to drive decisions or uncover opportunities in previous roles. We’re looking for candidates who can translate complex analyses into actionable insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get a response within three working days. Plus, it’s super easy – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at Capital on Tap
✨Know Your Data Science Tools
Make sure you’re familiar with the tools mentioned in the job description, like Python and SQL. Brush up on your skills and be ready to discuss how you've used them in past projects. This shows you’re not just a theoretical candidate but someone who can hit the ground running.
✨Prepare Your Success Stories
Think of specific examples where you've developed predictive models or analysed complex datasets. Be ready to explain the impact of your work on customer acquisition or retention. This will help you demonstrate your analytical skills and how they align with the company's goals.
✨Understand the Business Context
Research Capital on Tap and understand their mission and products. Knowing how your role as a Data Scientist fits into their growth strategy will impress the interviewers and show that you’re genuinely interested in contributing to their success.
✨Practice Clear Communication
Since translating complex analyses into simple stories is key, practice explaining your past projects in layman's terms. This will help you connect with stakeholders during the interview and showcase your ability to communicate effectively across teams.
