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- Tasks: Drive product growth using data science, experimentation, and machine learning.
- Company: Leading data-driven tech company in Greater London.
- Benefits: Hybrid work, private medical insurance, and enhanced parental leave.
- Why this job: Make a real impact on product development with your data expertise.
- Qualifications: 4+ years experience, strong Python and SQL skills, hands-on ML capabilities.
- Other info: Join a dynamic team with diverse benefits and career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading data-driven technology company in Greater London is seeking a Data Scientist with applied data science expertise. You will work end-to-end across metric design, experimentation, and product integration, building product components from real customer signals.
The ideal candidate has 4+ years of experience, strong Python and SQL skills, and hands-on ML capabilities. Enjoy a hybrid work environment with diverse benefits, including private medical insurance and enhanced parental leave.
Senior Data Scientist - Hybrid ML for Product Growth in London employer: Mention Me
Contact Detail:
Mention Me Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid ML for Product Growth in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving ML and product growth. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and SQL. We can find mock interview platforms or coding challenges online to sharpen our skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Scientist - Hybrid ML for Product Growth in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your hands-on ML capabilities!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing how you can apply your expertise to our needs, especially in metric design and experimentation.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences shine through without unnecessary fluff.
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 this exciting opportunity in our hybrid work environment!
How to prepare for a job interview at Mention Me
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around metric design and experimentation. Be ready to discuss how you've applied these in past projects, as this will show your practical expertise.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice common algorithms and SQL queries to ensure you're sharp.
✨Discuss Real Customer Signals
Think of examples where you've built product components based on customer data. Be ready to explain your thought process and the impact of your work on product growth, as this aligns perfectly with what they're looking for.
✨Embrace the Hybrid Work Culture
Since this role offers a hybrid work environment, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Highlight any previous experience you have in similar setups.
