At a Glance
- Tasks: Lead data science strategy and build a talented team for innovative 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 managing data science projects and strong communication skills.
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.
Check out our blog!
Data Science Manager 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, Lendable provides opportunities for mentorship and development within a fast-paced fintech environment, complemented by flexible working arrangements, comprehensive health coverage, and a vibrant social scene that fosters connection among team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Lendable. A friendly chat can open doors and give you insights that a job description 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, especially in data science and fintech.
✨Tip Number 3
Practice your communication skills. Being able to clearly explain complex data science concepts to non-technical stakeholders is key. We want to see how you can make data relatable!
✨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 Data Science Manager in London
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 will show us you understand what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your technical expertise in Python, SQL, and statistics. We want to see how you've applied these skills in real-world scenarios.
Communicate Clearly:Effective communication is key, especially when it comes to conveying complex data insights. Make sure your written application is clear and concise, reflecting your ability to communicate results to stakeholders, just like you would in the role.
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 us you're keen on 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, SQL, and statistics. Be ready to discuss your experience with the model lifecycle and how you've managed data science projects in the past. This will show that you’re not just a people manager but also technically savvy.
✨Understand Lendable's Mission
Familiarise yourself with Lendable’s mission to revolutionise credit and savings. Think about how your data science strategies can align with their goals. Being able to articulate how you can contribute to their vision will definitely impress the interviewers.
✨Prepare for Cross-Functional Collaboration
Since you'll be working with various teams, think of examples where you've successfully collaborated with cross-functional teams. Be ready to share how you’ve influenced stakeholders and driven projects forward, as this is key for the role.
✨Showcase Your Leadership Skills
As a data science manager, you’ll need to hire and mentor talent. Prepare to discuss your management style and how you’ve developed your team in the past. Highlight any successful mentoring experiences to demonstrate your ability to lead and inspire others.
