At a Glance
- Tasks: Lead data science strategy for non-lending products and drive impactful projects.
- Company: Join one of the UK's fastest-growing fintech unicorns with a collaborative culture.
- Benefits: Flexible working, health coverage, office meals, and competitive bonuses.
- Other info: Exciting career growth opportunities and a chance to mentor talented data scientists.
- Why this job: Make a real impact in a dynamic environment while shaping innovative financial solutions.
- Qualifications: Proven experience in data science, strong communication skills, and financial services knowledge.
The predicted salary is between 80000 - 100000 £ per year.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
- One of the UK’s newest unicorns with a team of just over 700 people
- Among the fastest-growing tech companies in the UK
- Profitable since 2017
- Backed by top investors including Balderton Capital and Goldman Sachs
- Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on 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 worth of financial products are held by big banks with dated systems and painful processes.
Join us if you want to:
- Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
- Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
About the role
We are looking for the first data scientist to own the data science strategy for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects.
So far, we have successfully re-engineered our 'Big Three' of UK consumer finance: Unsecured Loans, Credit Cards, and Auto Finance into high frequency, low latency automated systems. Now, we are diversifying our ecosystem. Car Insurance is our first venture into non-lending products, presenting a sophisticated new domain for our data strategy.
Join us if:
- You enjoy working with cross functional fast moving teams
- You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
- You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products
- You are excited about getting your hands dirty and getting the work done
You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. You will start as an IC and potentially have people management responsibilities in the future.
What you’ll be working on:
- Own the data science roadmap to contribute to new product expansion
- Build trust and influence a diverse range of leaders and stakeholders.
- Gather requirements internally and externally to define the success of the data science projects
- Drive exciting data science projects from both strategic level and tactical level.
- Clearly communicate results to stakeholders through verbal and written communication.
- Share ideas with the wider team, learn from and contribute to the body of knowledge.
- Be a great mentor to a team of talented data scientists and the broader analytics community
Key Skills:
- Successful track record of managing data science projects, with cross-functional teams and senior stakeholders
- Confident and effective communication both internally and externally
- Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations
- Excellent technical skills in Python, SQL, and statistics
- Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring
Nice to have:
- Experience of working in insurance, telco or consulting in financial services industry
The interview process:
- Recruiter call
- Hiring Manager Interview
- Technical Interview/ Case study
- Final interviews with Head of Data Science and Chief Risk Officer
Life at Lendable:
- Winning team: the opportunity to scale up one of the world’s most successful fintech companies
- Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
- Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
- Health coverage: support for your physical and mental wellbeing, including private health cover
- Retirement & savings: long-term financial wellbeing through retirement savings plans
- Employee referral programme: earn a competitive bonus when you refer successful new team members
- Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
- Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Principal Data Scientist in London employer: Lendable
Lendable is an exceptional employer, offering a dynamic work culture where innovation thrives and employees are empowered to make impactful decisions from day one. With a strong focus on employee growth, flexible working arrangements, and comprehensive health benefits, Lendable fosters a collaborative environment that encourages personal and professional development, making it an ideal place for those looking to contribute to cutting-edge fintech solutions in a rapidly expanding market.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lendable on LinkedIn, and ask them about their experiences. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for your interviews by brushing up on your technical skills. Make sure you're comfortable discussing Python, SQL, and statistics, as these will likely come up during your chats with the hiring team.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss past projects where you’ve made a significant impact. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Lendable team.
We think you need these skills to ace Principal Data Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Data Scientist role. Highlight your experience in managing data science projects and how it aligns with Lendable's mission to innovate in fintech.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used Python, SQL, and statistics in past projects. This will help us see your hands-on experience across the model lifecycle.
Communicate Clearly:Effective communication is key! Ensure your written application is clear and concise. We want to see how you can convey complex ideas simply, as this will be crucial when sharing results with stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lendable
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and statistics. Be ready to discuss your experience with the model lifecycle, from scoping to deployment. Lendable is looking for someone who can hit the ground running!
✨Understand the Fintech Landscape
Familiarise yourself with the financial services industry, particularly the products and regulations relevant to Lendable. Being able to speak knowledgeably about how data science can unlock value in non-lending products like car insurance will set you apart.
✨Communicate Clearly
Practice articulating your ideas and results clearly, both verbally and in writing. You’ll need to build trust with a diverse range of stakeholders, so being an effective communicator is key. Think about examples where you've successfully communicated complex data insights.
✨Show Your Strategic Thinking
Prepare to discuss how you can think strategically about commercial products. Lendable wants someone who can partner with managing directors to define what to build from a data science perspective. Bring examples of how your data-driven decisions have positively impacted previous projects.