At a Glance
- Tasks: Develop predictive models to boost customer growth 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 data science.
- 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) employer: jobr.pro
At Capital on Tap, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our vibrant London (Moorgate) office fosters a collaborative work culture where creativity thrives, and employees are empowered to take ownership of their projects. With a strong focus on professional growth, we offer extensive learning opportunities, competitive benefits, and a fun, relaxed environment complete with unique perks like office dogs and a pool table, making it an ideal place for passionate Data Scientists to flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Growth Team)
✨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. 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)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your analytical skills and experience with predictive models, especially in Python and SQL. We want to see how your background aligns with our mission at Capital on Tap!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for the Growth Team. Share your passion for data science and how you can help us improve customer acquisition and retention. Keep it engaging and personal!
Showcase Your Projects:If you've worked on relevant projects, don’t hesitate to showcase them! Whether it's a predictive model or a complex dataset analysis, we love seeing real examples of your work. It helps us understand your approach and thought process.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
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, simple language to convey your findings and recommendations, as this will resonate well with stakeholders from various backgrounds.
✨Show Your Collaborative Spirit
The Growth Team collaborates with many stakeholders, so highlight your teamwork skills. Be ready to discuss how you've worked with others in previous roles to implement data-driven solutions. Share examples of how you’ve navigated challenges in a fast-paced environment while keeping everyone aligned.
