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- Tasks: Lead a team of data scientists to drive data-driven improvements and enhance customer engagement.
- Company: Dynamic fintech company in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary up to £80,000, and opportunities for professional growth.
- Why this job: Make a real impact by developing advanced analytical models in a thriving industry.
- Qualifications: Strong experience in data science techniques and proficiency in Python required.
- Other info: Join a collaborative team and shape the future of fintech.
The predicted salary is between 48000 - 64000 £ per year.
A fintech company in the UK is seeking a Data Science Manager to lead a team of data scientists and drive data-driven improvements. You will oversee the development of advanced analytical models and collaborate with stakeholders to enhance customer engagement and product experience. Strong experience in data science techniques and proficiency in Python are required. The role is hybrid and offers up to £80,000.
Hybrid London Data Science Manager — Lead Analytics employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid London Data Science Manager — Lead Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you that Data Science Manager role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving Python. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or using online platforms. Focus on explaining your thought process behind analytical models and how you've driven improvements in past roles.
✨Tip Number 4
Apply through our website! We make it super easy to find and apply for roles like the Data Science Manager position. Plus, we love seeing familiar faces from our community, so don’t hesitate to put yourself out there!
We think you need these skills to ace Hybrid London Data Science Manager — Lead Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can lead our team to success. Keep it engaging and personal – we love to see your personality!
Showcase Your Leadership Skills: As a Data Science Manager, leadership is key. In your application, share examples of how you've successfully led teams or projects in the past. We want to know how you inspire and motivate others!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques before the interview. Be ready to discuss your experience with advanced analytical models and how you've used Python in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Leadership Skills
As a Data Science Manager, you'll need to lead a team. Prepare examples of how you've successfully managed teams or projects in the past. Highlight your ability to mentor others and drive collaboration, as this will be key to impressing the interviewers.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and the specific challenges it faces. Be prepared to discuss how data science can enhance customer engagement and product experience in this sector. This knowledge will demonstrate your genuine interest in the role and the company.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about the company's data strategy, team dynamics, and future projects. This shows that you're engaged and serious about the position, plus it helps you gauge if the company is the right fit for you.
