At a Glance
- Tasks: Develop predictive models to boost customer acquisition and retention.
- Company: Join a fast-growing financial platform revolutionising small business support.
- Benefits: Enjoy private healthcare, 28 days holiday, and a fun office vibe.
- Other info: Hybrid role with a vibrant culture and excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic team while working with cutting-edge data science tools.
- Qualifications: 2+ years in data science with strong analytical skills and Python experience.
The predicted salary is between 50000 - 60000 £ per year.
We're Capital on Tap. Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. 1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!
This is a Hybrid role, working from our London (Moorgate) Offices 3 days per week.
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.
What You'll Be Doing
- 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.
We're Looking For
- 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.
Preferred
- 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.
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 just let us know.
Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
- 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 (£250, £500, £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
Check out more of our benefits, values and mission here.
Data Scientist (Growth Team) in London employer: jobr.pro
At Capital on Tap, we pride ourselves on being an exceptional employer that champions innovation and inclusivity within the financial services sector. Our vibrant London (Moorgate) office fosters a collaborative work culture, where employees are encouraged to take ownership of their projects while enjoying unique perks like a dog-friendly environment and a well-equipped recreational space. With a strong focus on employee growth, we offer extensive benefits including private healthcare, generous holiday allowances, and a commitment to professional development, making us an ideal place for passionate Data Scientists looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Growth Team) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Capital on Tap through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Growth Team.
✨Tip Number 2
Prepare for your interview by brushing up on your data science skills. Be ready to discuss your experience with predictive models and how you've used them to drive growth in previous roles. We want to see your analytical prowess in action!
✨Tip Number 3
Show us your passion for small businesses! Research Capital on Tap’s products and think about how you can contribute to making them even better. Bring your ideas to the table during interviews to stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Capital on Tap.
We think you need these skills to ace Data Scientist (Growth Team) in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for data science and helping small businesses shine through. We love seeing candidates who are genuinely excited about what we do at Capital on Tap!
Tailor Your CV:Make sure to customise your CV to highlight relevant experience that aligns with the role. Focus on your analytical skills and any projects where you've developed predictive models or worked with complex datasets.
Craft a Compelling Cover Letter:Use your cover letter to tell us a story about your journey in data science. Explain how your background and skills can contribute to our Growth Team's mission of customer acquisition and retention.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at jobr.pro
✨Know Your Numbers
As a Data Scientist, you'll be expected to have strong analytical skills. Brush up on your statistical models and be ready to discuss how you've used Python and SQL in past projects. Prepare specific examples that showcase your ability to turn complex data into actionable insights.
✨Understand the Business
Capital on Tap is all about helping small businesses thrive. Familiarise yourself with their products and how they serve their customers. Think about how your data science skills can directly impact customer acquisition and retention, and be prepared to share your thoughts during the interview.
✨Storytelling with Data
It's not just about crunching numbers; it's about telling a compelling story with them. Practice explaining your past analyses in a way that's easy to understand. Use clear, concise language to convey your findings and recommendations, as this will be crucial for collaborating with stakeholders.
✨Show Your Curiosity
The Growth Team values innovation and staying ahead of the curve. Be ready to discuss the latest tools and techniques in data science that excite you. Show your enthusiasm for learning and how you can bring fresh ideas to the table, especially in a fast-paced environment.
