Senior Data Scientist

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Our Story

Hello there. We’re Zopa.We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at [website].

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count.

Want to see us in action? Follow us on Instagram @zopalife

At Zopa, data and the application of machine learning is at the heart of what we do and the products we bring to market. Within consumer financial services, we have pioneered modern data science techniques using advanced ML models for more than 7 years. Today more than 98% of our lending decisions are driven by ML models - so it's safe to say it is seriously impactful work!

Role: Senior Data Scientist

As a Senior Data Scientist at Zopa, you will be leading high impact projects related to data and modelling, across a broad range of topics such as credit risk, fraud detection, pricing, and customer engagement. You will own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring. You will engage with senior stakeholders across the company, influence critical business decisions, and make direct impacts on our products and millions of customers. On a daily basis, you will work closely with product managers, analysts, data engineers, and software engineers to make progress on your project. You will also support other data scientists by knowledge sharing, code review, collaboration on utilities and analytical infrastructure.

A day in the life...

1. Lead high impact projects related to data and modelling.
2. Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring.
3. Engage with senior stakeholders across the company, influence critical business decisions, and make direct impacts on our products and millions of customers.
4. Work closely with product managers, analysts, data engineers, and software engineers to make progress on your project.
5. Support other data scientists by knowledge sharing, code review, and collaboration on utilities and infrastructure.

About you...

• You love data and are passionate about tackling real-world problems with data. You have a proven track record of solving complex data problems and delivering business value.
• You are a scientist, always curious and eager to learn. You challenge the status quo and are fearless in innovation for the good of our customers and the world.
• You are a great communicator, influencing decision-makers with insights from data and fostering mutual understanding.
• You are a team player, striving for success and collaborating openly. You have a can-do attitude and strong commitment to getting the job done.
• You are proficient in SQL and Python, with good software engineering practices.
• You have in-depth knowledge of machine learning algorithms (logistic regression, random forest, gradient boosting, neural networks, k-means, etc.) and statistics (Monte Carlo, hypothesis testing, confidence intervals, etc.).
• You have working knowledge of Git, Docker, CI/CD, and REST API.

Bonus points:

• Experience with Causal Inference modelling.
• Domain knowledge of financial services, especially consumer lending or credit risk.

Flexible working? Yes please! At Zopa, we value flexible ways of working. Our teams work in a hybrid manner, from UK offices and home, with options to work abroad up to 120 days a year. We ensure you have everything needed to thrive, regardless of location.

Diversity Statement

Zopa is committed to a workplace free from discrimination. We value diversity of experience, perspectives, and backgrounds, which leads to better products and a richer company culture. We are proud of our multicultural team and our DE&I initiatives. If you require reasonable adjustments, please let us know.

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