Data Scientist

Data Scientist - New Applications

Hybrid in London, United Kingdom

The company

Imagine a world where every small business has the power to thrive. That's the world we're building ll businesses aren't just statistics – they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses.

Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve.

We combine cutting‑edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need – often within minutes.

The function

iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium‑sized datasets.

The team

The New Applications team optimises the customer journey, from the moment a customer enters the signup flow until our systems have enough information to generate an offer. By identifying and implementing the most efficient ways to convert prospects into successful applicants, the team maximises the number of businesses that get our best possible offers. The team’s remit:

• Optimise the customer journey:
  Make it easy for potential customers to go from just ‘brand aware’ to enthusiastic applicants.

• Strategise customer assessments:
  Decide how and when we run credit checks to maximise conversion rates.

• Promote data efficiency:
  Continually improve how iwoca collects information from both applicants and third‑party sources, minimising how long customers wait for a decision.

The role

As a data scientist on the New Applications team you will work closely with the team lead in identifying opportunities and developing strategies for maximising the value we gain from customers who arrive on our signup. This will require you to develop a deep understanding of our customer journey and the dynamics that influence customer lifetime value. You will quantify these opportunities based on past data or modelled assumptions and design and run experiments to test them.

You will be the champion of analytical rigour within the team, ensuring that our experimental designs are correctly defined, our models are evolving and optimised for impact and that we evaluate results rigorously and without bias. You will also mentor and guide data and product analysts on the team.

The projects

• Design, implement and review experiments that test the impact of giving instant decisions to different customer segments.

• Work alongside the team lead and collaborate with other teams to develop an optimised strategy for deciding what documents we request from customers. This will include building, implementing and maintaining predictive models.

• Evaluate and experiment with integrating an LLM chat assistant into the sign‑up journey, optimizing for conversion and data quality.

• Improve and maintain time series models that predict our loan issuance numbers and other financial metrics.

The requirements

Essential:

• Strong problem‑solving skills in probability and statistics, ideally from a quantitative background (e.g., Mathematics, Physics, Statistics or similar fields).

• Ability to understand business context and translate data into actionable insights that guide decisions.

• Understanding of experimental design.

• Proficiency with data manipulation and modelling tools, e.g. pandas, stats models, R.

• Ability to take ownership of tasks and drive projects forward, developing towards end‑to‑end responsibility.

• Ability to communicate clearly in…