National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Finance Data Scientist

eFinancialCareers
Greater London
2 weeks ago
Create job alert

Senior Finance Data ScientistWe're Capital on TapCapital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world and our goal is to help 1 million small businesses by 2030.

Why Join Us?We empower you to be innovative and solveplex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a Hybrid role, the Data Science team work from our London Offices 3 days per week.

Data Science Team at Capital on Tap

Are you a driven and dedicated Data Scientist looking to work in a fast-moving environment and initiate meaningful change?
We are looking for a talented and experienced credit risk modeller to join the Data Science team in the continued success of our rapid growth trajectory.

What You'll Be Doing

Build, implement and monitor IFRS9 models across the UK and US Develop predictive models, influencing our strategy across the entire customer lifecycle from marketing through to collections Help coach and develop colleagues in various departments on data science tools and techniques, as well as taking a direct lead on the projects in these areas Collaborate with business stakeholders to ensure risk analysis can be implemented seamlessly without deterioration to customer experience orplex IT builds


We're Looking For

2-5+ years experience building statistical models in Python and extracting/manipulating data in SQL Credit risk modelling experience including building IFRS9 models Able to work autonomously and to display strong judgement and proactivity within a small credit team Experience with some of our data stack would be beneficial but this is not a requirement. We use Snowflake (SQL based), DBT, FiveTran. Python / JupyterLab. Looker. Kubernetes cluster, hosted in Azure.
Diversity & Inclusion

We wee, consider and encourage applications from anyone who shares ourmitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks

We work hard, but we also believe in celebrating our successes and fostering a vibrant culture. Our Cardiff office is designed to be a fun and collaborative space,plete with a couple of office dogs!

Check out our benefits:
Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
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
Want to learn more about our values, mission, and benefits? Check out our careers page here.

Interview Process

First stage: 30 minute intro and values call with Talent Partner (Video call)
Second stage: 45 minute CV overview with a member of the Data Science team (Video call)
Third stage: On site interview with our Head of FP&A, and our CFO

Other InfoCheck out our 'Top Tips' for interviewing.
• Keep updated on new job opportunities by following us on Linkedin.
Email careers@capitalontap if you have any questions.

Excited to work here? Apply!If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.) Job ID 8068464002

Related Jobs

View all jobs

Financial Data Analyst

Senior Data Scientist

Senior Data Scientist - Consumer Lending

Senior Data Scientist Consumer Credit Modelling

Senior Data Scientist Consumer Credit Modelling

Senior Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.