At a Glance
- Tasks: Lead a data science team to drive innovative projects and strategies for non-lending products.
- Company: Join Lendable, a fast-growing fintech unicorn transforming consumer finance.
- Benefits: Flexible working, health coverage, office meals, and competitive bonuses.
- Other info: Exciting career growth opportunities in a supportive and collaborative culture.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: 2+ years of management experience and strong technical skills in Python and SQL.
The predicted salary is between 70000 - 90000 £ 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 a data science manager to own the data science strategy and build a data science team 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.
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.
What you’ll be working on:
- Hire, develop and retain talented data scientists
- 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
- At least 2+ years experience as a people manager
- 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
- Strong technical skills in Python, SQL, and statistics
- 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
- Initial call with Hiring Manager
- 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.
Data Science Manager 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, Lendable provides opportunities for mentorship and development within a fast-paced fintech environment, complemented by flexible working arrangements and comprehensive health benefits. Join a winning team that values collaboration and creativity, all while contributing to the mission of revolutionising consumer finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Lendable. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for your interviews by understanding Lendable's mission and values. Show us how your experience aligns with our goals, and don’t forget to have some questions ready!
✨Tip Number 3
Practice your technical skills! Brush up on Python, SQL, and statistics, as these will likely come up in your interviews. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience in managing data science projects and working with cross-functional teams, as this is what we’re looking for!
Showcase Your Skills:Don’t forget to mention your technical skills in Python, SQL, and statistics. We want to see how you’ve applied these in real-world scenarios, so share specific examples that demonstrate your expertise.
Communicate Clearly:Effective communication is key! Make sure your written application is clear and concise. We appreciate candidates who can articulate their thoughts well, especially when it comes to complex data science concepts.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Lendable!
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 and SQL. Be ready to discuss your experience with the model lifecycle and how you've managed data science projects in the past. This role is all about driving impactful data science projects, so show them you know your stuff!
✨Showcase Your Leadership Skills
As a data science manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've developed talent in your previous roles and how you've influenced cross-functional teams. They want to see that you can build trust and communicate effectively with diverse stakeholders.
✨Understand the Fintech Landscape
Familiarise yourself with the financial services industry, particularly the products and regulations relevant to Lendable. Being able to discuss how data can unlock value for customers in this space will set you apart. Show them you're not just a data whiz but also a strategic thinker who understands the market.
✨Prepare for Case Studies
Expect to tackle case studies during the interview process. Practice articulating your thought process clearly and concisely. They’ll be looking for your problem-solving approach and how you apply data science principles to real-world scenarios, so think through some examples beforehand.
