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

Nominate & Attend

Data Scientist

Iwoca
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Sales & Marketing

Hybrid in London

The company

Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe.

Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service.

The team

The Sales & Marketing (“Direct Acquisition”) team comprises our Marketing, Sales and Acquitech teams. We are responsible for reaching small and advertising finance to UK small businesses of all shapes and sizes. We do this through paid and organic marketing channels as well as direct sales.

We are an autonomous team with marketing, sales, software development, product, design, and data science team members. As a Data Scientist, you’ll work day to day with team members in all functions.

The role

As a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing.

Strategy and innovation:

  • Work closely with the Head of Direct Acquisition, team and channel leads to ensure that your work aligns with business goals and achieves valuable commercial outcomes.
  • Design experiments to compare the performance of different strategies and evaluate them to inform decisions.
  • Share your findings and modelling with the wider business to impact our strategy.

Ownership and influence:

  • Independently build models to help solve our business problems, with responsibility for the solution design.
  • Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias.
  • iwoca lives and breathes data, so data scientists have a key role in decision-making.

Development opportunities:

  • Join our community of analysts/data scientists/statisticians to ensure alignment in methodology across iwoca. You’ll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise.
  • Build expertise in Acquisition processes across the full range of marketing and sales activities.

The projects

Here are some examples of projects you might work on:

  • Setting up, monitoring and analysing split tests to help understand the value of marketing and sales activities. This could include determining the return on investment of different types of marketing strategies.
  • Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return.
  • Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning.

The requirements

Essential:

  • Strong problem-solving skills in probability and statistics.
  • Ability to dive deep into the business context and translate data into actionable insights.
  • Capability to manage projects end-to-end and produce good outcomes without much supervision.
  • Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.
  • Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.
  • Degree in Statistics, Mathematics, Physics or equivalent.

Bonus:

  • Experience implementing solutions in a production environment (e.g., continuous integration).
  • Experience with Python. (Note: we mostly work in Python.)
  • Experience with Bayesian statistics.

The salary

We expect to pay from £70,000 - £90,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

The culture

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.

The offices

We put a lot of effort into making iwoca a great place to work:

  • Offices in London, Leeds, Frankfurt, and Berlin with plenty of drinks and snacks.
  • Events and clubs, like bingo, comedy nights, yoga classes, football, etc.

The benefits

  • Medical insurance from Vitality, including discounted gym membership.
  • A private GP service (separate from Vitality) for you, your partner, and your dependents.
  • 25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
  • A one-month, fully paid sabbatical after four years.
  • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
  • 3% pension contributions on total earnings.
  • An employee equity incentive scheme.
  • Generous parental leave and a nursery tax benefit scheme to help you save money.
  • Electric car scheme and cycle to work scheme.
  • Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.

And to make sure we all keep learning, we offer:

  • A learning and development budget for everyone.
  • Company-wide talks with internal and external speakers.
  • Access to learning platforms like Treehouse.

#J-18808-Ljbffr

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.