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- Tasks: Lead the development of innovative data models in the fintech sector.
- Company: Join a rapidly growing fintech company with global ambitions.
- Benefits: Enjoy a competitive salary, bonuses, and health insurance.
- Why this job: Make a significant impact in a dynamic industry while working remotely.
- Qualifications: Experience in data science, credit risk models, SQL, and Python required.
- Other info: Fully remote role with occasional meet-ups in London and great career growth.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Scientist – Fintech, Remote – £100,000 + bonus + equity!
Join a rising star in the global fintech scene!
Following another successful round of funding & investment this company is continuing their meteoric expansion around the world.
They are now in need of a Lead-level Data Scientist to help with the build of some critical new data models & products.
Summary:
💰 Salary: £100,000
💻 Benefits: Bonus, health insurance
🚀 Industry/Type of business: Fintech
🏠 Remote working: Fully remote with occasional meet-ups in London
🧩 Interview process: 3 stages
📢 Reporting to: VP of Credit Risk
👏 Company size: ~300
🎯 Working on: Developing brand new models around credit & risk
What are we looking for?
- Full-stack end-to-end data science experience covering deployment & production
- Experience have specific experience building credit risk models
- Experience with SQL & Python, and machine learning libraries including XGBoost, LightGBM, Scikit-learn etc.
- Supporting platform & software engineering knowledge a plus!
- The ability to communicate & guide data strategy
Candidates must be based in the UK. Unfortunately we cannot offer sponsorship for this hire.
Interested? Apply!
Lead Data Scientist employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with credit risk models. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure your application highlights your full-stack data science experience and any relevant projects you've worked on. We love seeing your unique journey!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with credit risk models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used SQL, Python, and machine learning libraries like XGBoost or Scikit-learn in your previous roles. This helps us see your practical experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fintech and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our mission.
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 to join our growing team!
How to prepare for a job interview at Cognify Search
✨Know Your Data Science Stuff
Make sure you brush up on your full-stack data science skills, especially around credit risk models. Be ready to discuss your experience with SQL, Python, and machine learning libraries like XGBoost and Scikit-learn. They’ll want to see that you can not only build models but also deploy them effectively.
✨Showcase Your Communication Skills
As a Lead Data Scientist, you'll need to guide data strategy. Prepare to explain complex concepts in simple terms. Think about examples where you've successfully communicated technical information to non-technical stakeholders. This will show that you can bridge the gap between data science and business needs.
✨Research the Company and Industry
Dive into the fintech scene and understand the company’s position within it. Familiarise yourself with their products and recent funding rounds. This knowledge will help you tailor your answers and demonstrate genuine interest during the interview.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview process. Practice coding problems related to data science and be ready to discuss your thought process. This will showcase your problem-solving skills and ability to think on your feet.