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- Tasks: Lead a team to develop and optimise machine learning solutions in fintech.
- Company: Dynamic fintech company based in Greater London with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and excellent growth opportunities.
- Why this job: Make a real impact in payments and risk management while advancing your career.
- Qualifications: Strong MLOps background and experience in deploying models in production.
- Other info: Collaborative environment with cross-functional teams to enhance customer experiences.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in Greater London is seeking a Data Science Manager to lead a team focused on developing and optimizing machine learning solutions for payments and risk management. You will collaborate with cross-functional teams to drive business value and improve customer experiences. The ideal candidate has a strong background in MLOps and experience in deploying models in production. This role offers hybrid working, competitive benefits, and opportunities for growth.
Data Science Manager - Lead Production ML in Fintech employer: Zilch
Contact Detail:
Zilch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Lead Production ML in Fintech
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with machine learning. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your MLOps projects and any models you've deployed in production. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios, especially in payments and risk management. We recommend practising with friends or using mock interview platforms to build confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Manager - Lead Production ML in Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and deploying models in production. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 drive business value through machine learning solutions. Let us know what excites you about this opportunity!
Showcase Team Collaboration: Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can work well with others to improve customer experiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Zilch
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts, especially MLOps. Be ready to discuss your experience with deploying models in production and how you've optimised them for real-world applications.
✨Showcase Team Collaboration
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in the past. Highlight any projects where you drove business value through teamwork.
✨Prepare for Technical Questions
Expect some technical questions related to data science and machine learning. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's approach to machine learning and risk management. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
