At a Glance
- Tasks: Lead data science strategy for non-lending products and drive exciting projects.
- Company: Join a top fintech company with a focus on innovation and collaboration.
- Benefits: Best-in-class compensation, equity, remote work options, and fresh office lunches.
- Other info: Dynamic team environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in the evolving world of finance and insurance.
- Qualifications: Proven experience in data science, strong communication skills, and financial services knowledge.
The predicted salary is between 70000 - 90000 € 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.
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:
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
- Cognitive Assessment
- Hiring Manager Interview
- Technical Interview/ Case study
- Final interviews with Head of Data Science and Chief Risk Officer
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. Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in London.
Lead Data Scientist (Non-Lending) in London employer: Lendable Ltd
At Lendable, we pride ourselves on being an innovative fintech company that values collaboration and creativity. As a Lead Data Scientist, you'll enjoy a dynamic work culture that encourages strategic thinking and hands-on involvement in exciting projects, all while benefiting from best-in-class compensation, flexible working arrangements, and a strong commitment to employee well-being. Join us in shaping the future of non-lending products in a supportive environment that fosters growth and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Non-Lending) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for your interviews by practising common questions and scenarios related to data science projects. Think about how you've tackled challenges in the past and be ready to share those stories with confidence.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your technical abilities but also your passion for data science, making you stand out to potential employers.
✨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 our team.
We think you need these skills to ace Lead Data Scientist (Non-Lending) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Scientist. 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 excited about this role and how your strategic thinking can help us expand into new product areas like car insurance. Let’s see your passion for data science and how you can be a thought partner to our managing directors.
Showcase Your Communication Skills:Since clear communication is key for this role, make sure your application reflects that. Whether it's your CV or cover letter, keep it concise and engaging. We want to know how you can effectively communicate results to stakeholders and share ideas with the team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Lendable Ltd
✨Know Your Data Science Roadmap
Before the interview, make sure you understand the data science roadmap for non-lending products. Familiarise yourself with how your skills can contribute to the expansion of new products like car insurance. This will show that you're not just a candidate but a strategic thinker who can align with their vision.
✨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 communicated results to stakeholders in the past, as this will demonstrate your ability to influence and build trust with diverse leaders.
✨Showcase Your Technical Skills
Brush up on your technical skills in Python, SQL, and statistics. Be ready to discuss specific projects where you've applied these skills throughout the model lifecycle. They’ll likely want to see how hands-on you are, so be prepared to dive into the nitty-gritty details.
✨Prepare for Cross-Functional Collaboration
Think of examples from your past experiences where you've successfully collaborated with cross-functional teams. Highlight how you’ve managed relationships with senior stakeholders and how you can bring that experience to the table when working with managing directors on new product launches.
