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: Job Search Place Limited
Lendable is an exceptional employer that prioritises employee wellbeing and offers flexible working arrangements, making it an ideal place for professionals seeking a balanced work-life dynamic. With a strong focus on growth and innovation in the fintech sector, employees have ample opportunities for professional development and collaboration with senior leadership to shape impactful products. Join a forward-thinking team where your expertise in data science can drive meaningful change in non-lending financial solutions.
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 technical interviews by brushing up on your ML concepts and coding skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨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 the team at Lendable. 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 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 excited about leading the data science strategy at Lendable. Share specific examples of how you've partnered with teams in the past to drive product direction.
Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t forget to demonstrate how you’ve effectively communicated complex data insights to non-technical stakeholders.
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 you’re keen on joining our team!
How to prepare for a job interview at Job Search Place Limited
✨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 your role and the impact of your work. This will show that you not only have the expertise but also the ability to lead a team effectively.
✨Communicate Clearly
Since this role involves partnering with managing directors, strong communication skills are a must. Practice explaining complex data science concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Show Your Leadership Skills
Prepare examples of how you've successfully managed data science projects in the past. Highlight your leadership style and how you motivate your team. Lendable is looking for someone who can guide their team and drive product direction, so make sure to showcase your experience in this area.
✨Align with Company Values
Familiarise yourself with Lendable's focus on health and wellbeing. Think about how you can contribute to this culture and be prepared to discuss it during the interview. Showing that you align with their values can set you apart from other candidates.
