Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive product vision by building data-driven products and establishing experimentation practices.
- Company: Leading customer engagement platform in the UK with a focus on innovation.
- Benefits: Hybrid work model, medical insurance, and flexible leave policies.
- Why this job: Make a real impact on product development through data strategies and insights.
- Qualifications: Over 4 years in data science with strong skills in ML, Python, and SQL.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading customer engagement platform in the UK seeks a seasoned Data Scientist to drive product vision through impactful data strategies.
Responsibilities include:
- Building products from customer insights
- Establishing experimentation practices
The ideal candidate will have:
- Over 4 years in data science
- Strong skills in ML, Python and SQL
- The ability to communicate complex ideas clearly
This position offers a hybrid work model and excellent benefits including medical insurance and flexible leave policies.
Senior Data Scientist — ML, Experiments & Product Impact 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 — ML, Experiments & Product Impact in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and experiments. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to explain your thought process behind data strategies. Practising common interview questions can help you communicate complex ideas clearly.
✨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, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist — ML, Experiments & Product Impact in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with ML, Python, and SQL in your application. We want to see how your skills align with our needs, so don’t hold back on showcasing your expertise!
Tell Your Story: Use your application to tell us about your journey in data science. We love hearing about how you've built products from customer insights and established experimentation practices. Make it personal and engaging!
Keep It Clear and Concise: We appreciate clarity! When communicating your ideas, keep your language straightforward and avoid jargon. Remember, we’re looking for someone who can explain complex concepts easily.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Mention Me
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts, Python, and SQL. Be ready to discuss specific projects where you've applied these skills, as well as the impact they had on product outcomes. This will show that you not only know your stuff but can also translate it into real-world results.
✨Showcase Your Experimentation Skills
Since the role involves establishing experimentation practices, come prepared with examples of how you've designed and executed experiments in the past. Talk about the methodologies you used, the insights gained, and how those insights influenced product decisions. This will demonstrate your hands-on experience and strategic thinking.
✨Communicate Clearly
You’ll need to explain complex ideas simply, so practice articulating your thoughts on data strategies and findings. Use clear, concise language and avoid jargon unless necessary. Consider preparing a few key points or stories that illustrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Understand the Company’s Product Vision
Research the company and its customer engagement platform thoroughly. Understand their product vision and think about how your data strategies can align with it. Being able to discuss how you can contribute to their goals will show that you're genuinely interested and invested in the role.
