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- Tasks: Transform business challenges into analytical insights and develop advanced models.
- Company: Dynamic fintech organisation based in London, focused on innovation.
- Benefits: Hybrid work model and competitive salary up to £65,000.
- Why this job: Join a growing team and make a real impact on customer analytics.
- Qualifications: Strong Python skills and proven experience in customer analytics.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 39000 - 65000 £ per year.
A growing fintech organization based in London is seeking a Senior Data Scientist to focus on customer analytics. You will translate business challenges into analytical questions, analyze customer behavior, and develop advanced analytical models.
Strong proficiency in Python and a proven track record in customer analytics are essential. This role offers a hybrid work model and a competitive salary up to £65,000. Note: sponsorship is not available.
Senior Data Scientist, Personalisation & Growth in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Personalisation & Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data science. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your customer analytics projects. Use platforms like GitHub to share your Python code and analytical models. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process when tackling analytical challenges, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Scientist, Personalisation & Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in customer analytics and proficiency in 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 contribute to our growth. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Analytical Skills: In your application, include examples of how you've tackled business challenges with data. We’re looking for candidates who can translate complex problems into actionable insights, so share your success stories!
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 Jobster
✨Know Your Data Inside Out
Make sure you’re well-versed in customer analytics and can discuss your previous projects in detail. Be ready to explain how you translated business challenges into analytical questions and the impact of your work on customer behaviour.
✨Show Off Your Python Skills
Since strong proficiency in Python is essential, brush up on your coding skills before the interview. Prepare to discuss specific libraries or frameworks you've used and be ready for a coding challenge or technical questions related to data manipulation and analysis.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially trends related to personalisation and growth. Being able to discuss how data science can drive customer engagement in this sector will show that you’re not just a techie but also understand the business side.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data strategies, team dynamics, and how they measure success in customer analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
