At a Glance
- Tasks: Lead data science strategy and manage projects for innovative fintech products.
- Company: Lendable, a forward-thinking fintech company prioritising health and wellbeing.
- Benefits: Flexible working arrangements and a focus on employee wellbeing.
- Other info: Join a dynamic team and make a real impact in the fintech industry.
- Why this job: Shape the future of fintech with your data science expertise and leadership.
- Qualifications: Proven experience in managing data science projects and strong skills in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Lendable is seeking a Data Science Manager to lead the data science strategy and team for non-lending products. This role involves partnering with managing directors to define product directions and oversee project delivery.
The ideal candidate will have a track record in managing data science projects, strong communication skills, and technical expertise in Python and SQL.
Lendable offers flexible working arrangements with a focus on health and wellbeing.
Data Science Manager — Lead ML for Fintech Growth in London employer: Lendable
Lendable is an exceptional employer that prioritises employee wellbeing and offers flexible working arrangements, making it an ideal place for those seeking a balanced work-life dynamic. With a strong focus on professional growth, employees are encouraged to develop their skills in a collaborative environment, while contributing to innovative non-lending products that drive fintech growth. Joining Lendable means being part of a forward-thinking team that values communication and technical expertise, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager — Lead ML for Fintech Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at Lendable or similar companies. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and SQL. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Lendable and contributing to their growth.
We think you need these skills to ace Data Science Manager — Lead ML for Fintech Growth in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in managing data science projects and your technical skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading data science strategies, especially in the fintech space. We love seeing candidates who can communicate their vision clearly.
Showcase Your Communication Skills:Since this role involves partnering with managing directors, it’s crucial to demonstrate your strong communication skills. In your application, highlight instances where you’ve successfully collaborated with stakeholders or led teams.
Apply Through Our Website:We encourage you to apply directly 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 from us!
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 past projects and how you've used these tools to drive results. Lendable will want to see that you can not only manage a team but also dive into the technical details when needed.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed data science projects in the past, highlighting your communication skills and how you've collaborated with stakeholders to define product directions.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and the specific challenges it faces. Being able to discuss current trends and how data science can drive growth in non-lending products will show that you're not just technically savvy but also strategically minded.
✨Emphasise Flexibility and Wellbeing
Lendable values health and wellbeing, so be prepared to discuss how you promote a positive work environment. Share your thoughts on flexible working arrangements and how you can support your team's wellbeing while driving project success.
