Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Solve data problems and drive insights to inform media strategies.
- Company: Dynamic digital retail company based in Liverpool.
- Benefits: Flexible working environment and commitment to self-development.
- Why this job: Make a significant impact on business decisions while growing your skills.
- Qualifications: Proficiency in Python and SQL, with a passion for data analysis.
The predicted salary is between 30000 - 42000 £ per year.
A dynamic digital retail company in Liverpool is looking for a driven Data Scientist to tackle various business challenges. The role focuses on solving data problems, driving insights and collaborating across teams. You will utilize your technical skills in Python and SQL to develop models that inform media strategies. The company offers a flexible working environment and a commitment to self-development, enabling you to grow while making a significant impact on business decisions.
Data Scientist - Marketing Analytics & Experimentation in Liverpool employer: The Very Group
Contact Detail:
The Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Marketing Analytics & Experimentation in Liverpool
✨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 Python and SQL. This will give potential employers a taste of what you can do and how you tackle real-world data problems.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as collaboration is key in this role. We want to see how you approach problem-solving!
✨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 Scientist - Marketing Analytics & Experimentation in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in Python and SQL right from the start. We want to see how you can use these tools to tackle data problems and drive insights.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role. We love seeing candidates who understand our business challenges.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at The Very Group
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to solve data problems or drive insights. This will show that you can hit the ground running!
✨Understand the Business Context
Research the company’s digital retail strategies and think about how your data science skills can contribute. Prepare examples of how you've used data to inform media strategies in the past, as this will demonstrate your ability to align with their business goals.
✨Collaboration is Key
Since the role involves working across teams, be prepared to talk about your experience collaborating with others. Share specific instances where your teamwork led to successful outcomes, highlighting your communication skills and adaptability.
✨Show Your Growth Mindset
The company values self-development, so come equipped with examples of how you've pursued learning opportunities in the past. Whether it's online courses, workshops, or personal projects, showing your commitment to growth will resonate well with them.
