At a Glance
- Tasks: Develop and deploy machine learning models to enhance credit card strategies.
- Company: Join Lendable, a fast-growing fintech unicorn revolutionising consumer finance.
- Benefits: Competitive salary, equity options, hybrid work, and private health insurance.
- Other info: Enjoy a collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in the fintech space with cutting-edge technology and data.
- Qualifications: Strong Python and SQL skills, with a passion for machine learning and problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
We are excited to be hiring a new Senior Data Scientist to join our Cards Data Science team. Data Science sits at the heart of Lendable’s competitive advantage. Our proprietary machine learning models power underwriting, pricing, credit strategy and customer management decisions across millions of lending decisions.
This role will focus on our UK credit cards business, working across both acquisitions and customer management. You’ll work with large-scale, high-dimensional datasets to develop models and strategies that directly influence growth, risk and profitability. The role combines deep quantitative work with product and commercial thinking. Successful candidates are excited by autonomy, solving difficult problems, moving quickly, experimenting rigorously and influencing strategy through data. We value intellectual curiosity and an interest in emerging machine learning techniques and their practical application.
As you grow in the role, there is significant flexibility to shape your trajectory — whether toward advanced modelling and research, commercial optimisation and strategy, or broader technical ownership.
Our team’s objectivesThe Data Science team develops proprietary behavioural and underwriting models using state-of-the-art machine learning techniques and a diverse range of data sources. Data scientists work closely with product, engineering, credit risk and commercial teams to identify opportunities, translate business problems into quantitative frameworks, and deliver solutions that materially improve business performance. We operate with a high degree of ownership and autonomy. Data scientists are responsible not only for developing models, but also for deploying, monitoring and continuously improving them in production. We value rigorous thinking, intellectual curiosity and fast execution. Research is important, but practical impact matters equally.
How you’ll impact those objectives- Develop and deploy machine learning models that improve underwriting, pricing and customer management decisions.
- Work with large and complex datasets to generate insights that influence credit and commercial strategy.
- Take ownership of models and decision systems throughout their lifecycle, from research and development through production monitoring and iteration.
- Collaborate with stakeholders across the business to translate ambiguous problems into measurable outcomes.
- Contribute to the team’s technical knowledge through idea sharing, experimentation and continuous learning.
- Strong programming skills in Python and SQL.
- Understanding of statistics, machine learning and quantitative problem solving.
- Ability to approach ambiguous problems with structure and pragmatism.
- Curious, fast-moving and highly collaborative mindset.
- Interest in advanced machine learning techniques and applied research.
- Experience in credit risk, lending or broader financial services.
- Interest in machine learning infrastructure and optimisation.
We’re not corporate, so we try our best to get things moving as quickly as possible. For this role, we’d expect:
- Recruiter call
- Take Home Task
- Technical Interview
- Case study
- Final interview
Lendable is on a mission to build the world's best technology to help people get credit and save money. Founded in 2014, profitable since 2017, unicorn in 2021, £3.5bn valuation in 2022, backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan. Loved by customers & employees with top reviews on Glassdoor and Trustpilot.
So far, we’ve rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do. We’re going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes.
Life at Lendable- The opportunity to scale up one of the world’s most successful fintech companies.
- Best-in-class compensation, including equity.
- You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas.
- Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance.
- We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.
Senior Data Scientist - UK Cards in London employer: Lendable Ltd
Lendable is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Senior Data Scientist in London/Kent, you'll enjoy best-in-class compensation, including equity, and the flexibility of a hybrid work model, allowing you to balance your professional and personal life effectively. With a strong focus on employee well-being, continuous learning, and significant growth opportunities, Lendable is committed to fostering a culture that values intellectual curiosity and practical impact, making it an ideal place for those looking to make a meaningful contribution in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - UK Cards in London
✨Tip Number 1
Get to know the company inside out! Research Lendable's mission, values, and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice makes perfect! Prepare for the technical interview by brushing up on your Python and SQL skills. Work through some machine learning problems and case studies to get comfortable with the types of questions you might face.
✨Tip Number 3
Don’t shy away from showcasing your past projects! Bring examples of your work with large datasets or machine learning models to the interview. This not only demonstrates your skills but also gives you a chance to discuss your thought process and problem-solving abilities.
✨Tip Number 4
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider insights about the company culture and potentially even a referral, which can boost your chances of landing that job!
We think you need these skills to ace Senior Data Scientist - UK Cards in London
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let us see your enthusiasm for data science! Share specific examples of projects or experiences that highlight your skills in machine learning and quantitative problem solving. We love candidates who are genuinely excited about the field.
Tailor Your Application:Make sure to customise your application to align with our job description. Highlight your experience with Python, SQL, and any relevant machine learning techniques. This shows us you understand what we’re looking for and how you can contribute to our team.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and skills. We appreciate candidates who can communicate complex ideas simply, as this reflects the collaborative mindset we value at StudySmarter.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Lendable Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and statistical techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in credit risk or lending contexts. The more specific examples you can provide, the better!
✨Prepare for Technical Challenges
Since the interview process includes a technical interview and a take-home task, practice coding in Python and SQL. Familiarise yourself with common data manipulation tasks and be prepared to solve problems on the spot. It’s all about showing your thought process!
✨Understand the Business Impact
Lendable values practical impact, so think about how your work as a data scientist can influence business decisions. Be ready to discuss how you've turned ambiguous problems into measurable outcomes and how your models have improved performance in previous roles.
✨Show Your Curiosity and Collaboration Skills
Demonstrate your intellectual curiosity by discussing recent advancements in machine learning that excite you. Also, highlight your collaborative experiences—how you've worked with cross-functional teams to achieve goals. They want to see that you can thrive in a team environment!