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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.
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
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to credit risk models. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for those interviews! Research the company’s products and think about how your experience with SQL, Python, and machine learning can contribute to their goals. Tailor your answers to highlight your relevant skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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; show us how you’ve used them! Include specific examples of your work with SQL, Python, and machine learning libraries like XGBoost and Scikit-learn. This will help us understand your hands-on 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 your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
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 how you can apply these in real-world scenarios.
✨Showcase Your Communication Skills
As a Lead Data Scientist, you'll need to guide data strategy. Prepare examples of how you've effectively communicated complex data concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Prepare for Technical Questions
Expect some technical grilling during the interview process. Review common data science problems and be ready to solve them on the spot. Practising coding challenges in Python or SQL can give you an edge and show your problem-solving skills.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially trends related to credit and risk. Being knowledgeable about the company's position in the market and its competitors will show your genuine interest and help you stand out as a candidate.
