Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop advanced machine learning models for credit risk and affordability.
- Company: A leading FinTech company in London with global backing.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make a real impact in the FinTech space while working with cutting-edge technology.
- Qualifications: Strong skills in machine learning and data analytics, plus teamwork experience.
- Other info: Join a vibrant team in a rapidly growing industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading FinTech company in London is seeking a Head of Data Science to work hands-on with a growing team. You will develop advanced machine learning models for credit risk and affordability, enhance product offerings, and identify target businesses for sales.
Strong skills in machine learning and data analytics are essential, along with experience in collaborative team environments. Join a dynamic firm backed by major global investors.
Hands-on Head of Data Science - FinTech Growth in London employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-on Head of Data Science - FinTech Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working in data science. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data analytics projects. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in team environments. We want to see how you can communicate your ideas effectively!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Head of Data Science role!
We think you need these skills to ace Hands-on Head of Data Science - FinTech Growth in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on, especially those involving machine learning and analytics. We want to see how you can bring that passion to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Head of Data Science role. Highlight your hands-on experience with machine learning models and any relevant FinTech projects. This helps us see how you fit into our vision and goals.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so avoid jargon unless it's necessary to showcase your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, it shows us you're serious about joining our dynamic team in London!
How to prepare for a job interview at Wyatt Partners
✨Know Your Machine Learning Models
Make sure you brush up on the latest machine learning techniques relevant to credit risk and affordability. Be ready to discuss specific models you've developed or worked with, and how they can enhance product offerings in a FinTech context.
✨Showcase Your Team Collaboration Skills
Since this role involves working with a growing team, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight your ability to communicate complex data insights to non-technical stakeholders.
✨Research the Company and Its Products
Dive deep into the company's current product offerings and any recent developments in their services. Understanding their market position will help you tailor your responses and demonstrate your genuine interest in contributing to their growth.
✨Prepare Questions About Future Growth
Think about the future of data science in FinTech and prepare insightful questions about the company's vision. This shows that you're not just focused on the role but are also thinking strategically about how you can contribute to their long-term success.
