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- Tasks: Lead data science strategy and manage cross-functional projects in non-lending products.
- Company: Lendable Ltd, a forward-thinking company in the financial services sector.
- Benefits: Flexible working arrangements, competitive compensation, and a focus on employee well-being.
- Other info: Join a dynamic team with opportunities for personal and professional growth.
- Why this job: Make a real impact in the insurance sector while leading innovative data projects.
- Qualifications: Proficiency in Python and SQL, with experience in financial services.
The predicted salary is between 60000 - 80000 £ per year.
Lendable Ltd is seeking a Data Scientist to lead the data science strategy for non-lending products in London. The successful candidate will own the data science roadmap, partner with senior management, and lead cross-functional projects in areas like Car Insurance.
This role demands effective communication, technical proficiency in Python and SQL, and a background in financial services.
Lendable Ltd offers flexible working arrangements, great compensation, and a focus on employee well-being.
Lead Data Scientist, Non-Lending & Insurance employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Non-Lending & Insurance
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working with data science. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate your technical proficiency and how you can apply it to real-world problems, especially in non-lending products like car insurance.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data science concepts clearly to senior management and cross-functional teams. Practice articulating your thought process and findings in a way that’s easy to understand.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities at Lendable Ltd, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Lead Data Scientist, Non-Lending & Insurance
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical proficiency in Python and SQL in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Lead Data Scientist position. We love seeing candidates who take the time to connect their background with our needs, especially in financial services.
Communicate Clearly: Effective communication is key for this role. When writing your application, keep it clear and concise. We appreciate candidates who can convey complex ideas simply, as you’ll be partnering with senior management.
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 Lendable Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your previous projects and how you've applied data science techniques to solve real-world problems, particularly in financial services.
✨Communicate Like a Pro
Since this role involves partnering with senior management, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate how you've effectively communicated insights to non-technical stakeholders.
✨Understand the Business
Get familiar with Lendable Ltd's non-lending products and the insurance sector. Research their current strategies and think about how you can contribute to their data science roadmap. Showing that you understand their business will set you apart.
✨Prepare for Cross-Functional Collaboration
This role requires leading cross-functional projects, so be ready to discuss your experience working with different teams. Think of examples where you've successfully collaborated with others to achieve a common goal, and be prepared to share those stories.