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 with opportunities for professional growth.
- 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 60000 - 80000 £ 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 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. Join us to be part of a forward-thinking team where your expertise in data science can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager — Lead ML for Fintech Growth
✨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 those interviews by brushing up on common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to build 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 being part of the Lendable team. Don’t miss out on this opportunity!
We think you need these skills to ace Data Science Manager — Lead ML for Fintech Growth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in managing data science projects and your technical skills in Python and SQL. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for leading our data science strategy. Share specific examples of your past successes and how they relate to the role at Lendable.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. We love candidates who can bridge the gap between technical and non-technical stakeholders!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application 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 in detail, highlighting how you managed them and the impact they had on the business.
✨Communicate Like a Pro
Since this role involves partnering with managing directors, practice explaining complex data science concepts in simple terms. Think about how you can convey your ideas clearly and effectively to non-technical stakeholders.
✨Show Your Leadership Skills
Prepare examples of how you've successfully led teams or projects in the past. Lendable is looking for someone who can oversee project delivery, so be ready to discuss your management style and how you motivate your team.
✨Align with Their Values
Familiarise yourself with Lendable's focus on health and wellbeing. Think about how you can contribute to a positive work environment and be prepared to discuss your approach to maintaining a healthy work-life balance.
