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Data Scientist
Zopa
2021-12-03 08:00:04
Barkingside,
Greater London,
United Kingdom
Job type: fulltime
Job industry: I.T. & Communications
Job description
Hello there. We're Zopa. Our diverse team is united in their mission of creating simple, fair and honest financial products that have the customer's needs at their heart. We're proud that this dedication is reflected in our excellent rating on TrustPilot.
We've always been unapologetically honest with our customers, and value the same in return. Their feedback helps us shape what we build, so we can provide a bank fit for today, and for the future.
We're not the new kids on the block though - we've been a pioneering force in finance for 16 years. In 2005, we built the first ever peer-to-peer (P2P) lending company, giving our customers access to loans built for real-life and intelligent investments backed by cutting-edge tech. In 2020, we launched Zopa Bank, meaning we could offer more - like fixed term savings backed by FSCS protection and a credit card to help customers take control of their finances.
Today, our bank and our P2P business run alongside each other, with the same ethos and the same mission. We've lent out over £6 billion and are proud to have made money work better for over half a million people across the UK, whether they were looking to borrow, save or invest.
If you embrace being challenged beyond the norm, aren't afraid to think differently and are motivated by working somewhere you can really make an impact, you'll love life here at Zopa.
About the role:
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. We've been using advanced ML models for more than 5 years and today more than 98% of our lending decisions are driven by ML models, so you'll have exposure to a broad range of different techniques and problems to solve!
We are constantly innovating and using new data and ML techniques. Recently we've deployed deep learning models to assess credit risk and the current focus is on the interpretability of ML models.
You will have:
- Excellent programming skill in Python
- In-depth knowledge and hands-on experience of the PyData stack (e.g. Pandas, Numpy, Scipy, MatPlotLib, Scikit-learn) for analytics/machine learning
- Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference)
- In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.
- Proficiency in SQL
- Experience of full life-cycle of a data science project, from data collection, EDA, model building to deployment
- Experience in optimization algorithms, deep learning, reinforcement learning
- Experience with AWS services (S3, RedShift, Athena, Glue, SageMaker, etc.)
- Domain knowledge in credit risk, data-driven marketing, operational optimization
- Good understanding of best practice in software engineering
- Proficiency in Linux/Unix
- Success in data science competitions
- Contribution to open source projects
We're currently piloting a new flexible working scheme. This means that whether you want to come into our open-plan, riverside London Bridge office or work from the comfort of your own home (or both!), you'll be able to decide on an approach with your manager, looking at what works best for you, your role and your team.
Not only that - the new model also includes the option of working from abroad for up to 90 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.
- Bonus
- Work from home
- Flexible hours
- Private healthcare
- Pension
- Life insurance
- L&D
- Family wellbeing plan
- Perk box
- Cycle to work scheme
- Access to Zopa products