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- Tasks: Lead the development of advanced machine learning models for innovative financial products.
- Company: Dynamic fintech company in Greater London with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and a range of employee perks.
- Why this job: Make a real impact in the fintech space while mentoring the next generation of data scientists.
- Qualifications: Advanced education in a quantitative field and expertise in Python and SQL.
- Other info: Fast-paced environment with opportunities for professional growth and development.
The predicted salary is between 48000 - 72000 £ per year.
A financial technology company in Greater London is looking for a Senior (Lead) Data Scientist to develop and implement cutting-edge statistical and machine learning models for commercial lending products. The ideal candidate will have advanced education in a quantitative field and expertise in Python and SQL. This role involves mentoring junior team members and requires a focus on delivering business results in a dynamic environment. The company offers hybrid working and a range of employee benefits.
Lead Data Scientist: Ml in England employer: Funding Circle Ltd.
Contact Detail:
Funding Circle Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: Ml in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. This is your chance to demonstrate how you can deliver business results with your expertise in Python and SQL.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your statistical knowledge and coding skills. We recommend mock interviews to help you feel confident and prepared.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Lead Data Scientist: Ml in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL right from the get-go. We want to see how your skills can help us develop those cutting-edge models for our commercial lending products.
Quantitative Education Matters: Since we're looking for someone with advanced education in a quantitative field, don’t forget to mention your academic background. It’s a great way to show us you’ve got the theoretical knowledge to back up your practical skills.
Mentorship Experience: If you've had experience mentoring junior team members, let us know! We value leadership and want to see how you can help grow our team while delivering business results in a dynamic environment.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Funding Circle Ltd.
✨Know Your Models Inside Out
Make sure you can discuss the statistical and machine learning models you've worked with in detail. Be prepared to explain how you've implemented these models in past projects, particularly in commercial lending contexts. This will show your expertise and ability to deliver business results.
✨Brush Up on Python and SQL
Since the role requires expertise in Python and SQL, ensure you're comfortable discussing your experience with these languages. You might be asked to solve a problem or write a query during the interview, so practice coding challenges beforehand to boost your confidence.
✨Showcase Your Mentoring Skills
As this position involves mentoring junior team members, think of examples where you've successfully guided others. Be ready to share how you approach mentorship and how it has positively impacted your team’s performance.
✨Understand the Business Context
Familiarise yourself with the financial technology landscape, especially around commercial lending products. Being able to discuss how data science can drive business outcomes in this sector will demonstrate your strategic thinking and alignment with the company's goals.