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- Tasks: Lead a team in delivering machine learning and analytics projects with high impact.
- Company: A leading financial services platform known for innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Why this job: Make a real difference in a fast-paced environment while developing your leadership skills.
- Qualifications: Experience in Python and proven leadership abilities required.
- Other info: Join a dynamic team and grow your career in data science.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services platform is seeking a Data Science Manager, responsible for leading a team delivering machine learning and analytics projects. The role involves technical direction and team mentorship, ensuring timely delivery of high-impact solutions in a fast-paced environment.
Candidates should have experience in Python and proven leadership skills. This position offers a hybrid work model in London or Peterborough.
Data Science Lead — ML & Production Delivery in London employer: Compare the Market
Contact Detail:
Compare the Market Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead — ML & Production Delivery in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and data science sectors. Attend meetups or webinars to meet potential employers and showcase your expertise in machine learning and analytics.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your past projects. We recommend practising common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Show off your leadership skills! Be prepared to share examples of how you've mentored teams or led projects. Highlighting your ability to deliver high-impact solutions will set you apart from other candidates.
✨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 Lead — ML & Production Delivery in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and any leadership roles you've held. We want to see how your skills align with the Data Science Lead position, 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 machine learning and how you can lead a team to deliver high-impact solutions. We love seeing genuine enthusiasm for the role.
Showcase Your Team Mentorship Skills: Since this role involves mentoring, share examples of how you've supported and developed others in your previous positions. We’re looking for leaders who can inspire and guide their teams to success.
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’s super easy!
How to prepare for a job interview at Compare the Market
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant machine learning frameworks. Be ready to discuss specific projects you've worked on, including the challenges you faced and how you overcame them.
✨Showcase Your Leadership Style
Prepare examples that highlight your leadership experience. Think about how you've mentored team members or led projects to success. This is your chance to demonstrate how you can guide a team in delivering high-impact solutions.
✨Understand the Company’s Goals
Research the financial services platform and understand their mission and values. Tailor your responses to show how your skills and experiences align with their objectives, especially in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the company’s approach to machine learning. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
