Senior Data Scientist

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 Zopa.com! 

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!  

We are looking for a Senior Data Scientist to join us here at Zopa to lead on high impact projects related to data and modelling, with a specific focus on Marketing and Customer Engagement. This role will be working very closely with HVX Growth, Zopa's newest tribe. Their mission is crystal clear: Welcome 1 million new customers to Zopa each year.

• Lead high impact projects related to data and modelling, with a specific focus on Marketing and Customer Engagement. 
• 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 model, deployment to production and model monitoring. 
• Plan experiments and A/B Tests and use them to gather useful insights and inform the business strategy. 
• Engage with senior stakeholders across the company, influence critical business decisions, and make direct impacts on our products and millions of customers. 
• Work closely with product managers, analysts, data engineers and software engineers to make progress of your project. 
• Support other data scientists by knowledge sharing, code review, collaboration on common utilities and analytical infrastructure. 

• You love data. You are passionate about tackling real world problems with data. You have proven track record of solving complex data problem and deliver business value.   
• You are a scientist. Always curious and eager to learn. You have an inquisitive mind to delve under the surface and challenge status quo. You are fearless in innovation, for the good of our customers and the world.  
• You are a great communicator. You enjoy influencing decision makers with insights from data. You can foster mutual understanding and trust with stakeholders of different perspectives.   
• You are a team player, striving for the success of the team and collaborate with an open mind. You have the can-do attitude with strong commitment to get the job done. 
• You are proficient in SQL and have excellent Python skills, with a good understanding of the best practices in Software Engineering. 
• You have in-depth knowledge of machine learning algorithms (e.g. logistic regression, random forest, gradient boosted trees, neural networks, k-means, etc) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference).
• You have working knowledge of Git, Docker, CI/CD, REST API.

• Experience in running experiments and A/B testing, and in analysing the results of these experiments.
• Experience with Causal Inference modelling and Attribution Modelling.
• Experience in building Statistical Models for Marketing.
• Domain knowledge in marketing, consumer lending, credit risk, online business.
• A STEM degree, preferably PhD.

#LI-OH1

Flexible working? Yes please!

At Zopa we value flexible ways of working. We understand the benefits of face-to-face collaboration and the importance of a good work-life balance. Our teams work in a hybrid manner, from our vibrant UK offices and the comfort of their own homes, at a frequency that suits the team and the work they do.

Not only that – you'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.

*Subject to having the right to work in the country of choice

Diversity Statement

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.