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- Tasks: Lead data science strategy for non-lending products and drive innovative projects.
- Company: Join a leading fintech company transforming consumer finance.
- Benefits: Flexible working, health coverage, retirement plans, and social events.
- Other info: Opportunity for career growth and mentorship in a collaborative team.
- Why this job: Make a real impact in a dynamic environment with exciting new challenges.
- Qualifications: Proven experience in managing data science projects and strong communication skills.
The predicted salary is between 70000 - 90000 ÂŁ per year.
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. 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 working in insurance, telco or consulting in financial services industry.
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.
Lead Data Scientist employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those that relate to financial services or data science. This will give you a leg up when it comes to impressing potential employers.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and scenarios. Be ready to discuss your past projects and how they relate to the role. Remember, it’s not just about your technical skills; they want to see how you communicate and collaborate!
✨Apply Through Our Website
We’ve got some amazing opportunities waiting for you on our website. Don’t miss out! Applying directly through us not only shows your interest but also gives you a better chance to stand out in the crowd.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with data science projects, especially in financial services, and showcase your technical skills in Python and SQL. We want to see how you can contribute to our non-lending products!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our goals at StudySmarter. Don’t forget to mention your experience with cross-functional teams and stakeholder management.
Showcase Your Communication Skills: Since effective communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it's through your CV or cover letter, we want to see how you can communicate results to 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 winning team at StudySmarter!
How to prepare for a job interview at Lendable
✨Know Your Data Science Roadmap
Before the interview, make sure you understand the company's data science strategy, especially regarding non-lending products. Familiarise yourself with their current projects and think about how your experience can contribute to their roadmap.
✨Communicate Clearly and Confidently
Since effective communication is key for this role, practice articulating your thoughts on complex data science concepts in simple terms. Prepare examples of how you've successfully communicated results to stakeholders in the past.
✨Showcase Your Technical Skills
Be ready to discuss your hands-on experience with Python, SQL, and statistics. Bring specific examples of projects where you’ve applied these skills, particularly in the financial services sector, to demonstrate your expertise.
✨Prepare for Leadership Questions
As this role may evolve into a management position, think about your mentoring style and how you would lead a team of data scientists. Be prepared to share your vision for building trust and influencing diverse stakeholders.