Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop predictive models and collaborate across teams to enhance customer data insights.
- Company: Leading recruitment agency in analytics with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by leveraging data science to personalise customer experiences.
- Qualifications: Strong skills in customer marketing data science and proficiency in Python.
- Other info: Dynamic work environment with excellent career advancement potential.
The predicted salary is between 65000 - 75000 £ per year.
A leading recruitment agency in analytics is looking for an experienced Data Scientist to work on customer data. The role involves developing predictive models, collaborating across teams, and ensuring model performance in a hybrid working environment.
Ideal candidates should have strong skills in customer marketing data science and be proficient in Python.
The role offers a salary of £65,000 - £75,000.
Customer Data Scientist – Predictive Modelling & Personalization in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Scientist – Predictive Modelling & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in customer data science. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on. This is your chance to demonstrate your expertise in Python and customer marketing data science.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using online resources to get comfortable discussing your approach to model performance.
✨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 Customer Data Scientist – Predictive Modelling & Personalization in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in customer marketing data science and predictive modelling. We want to see how your skills in Python can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work with customer data and how you’ve collaborated across teams to drive results.
Showcase Your Technical Skills: Since we’re looking for someone proficient in Python, make sure to mention any relevant tools or libraries you’ve used. If you’ve developed predictive models before, give us the details – we love to see your technical prowess!
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 follow the prompts!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling techniques and customer marketing data science. Be ready to discuss specific projects you've worked on, the models you developed, and the impact they had. This shows you not only know your stuff but can also apply it in real-world scenarios.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, be prepared to talk about your experience with it. You might even get asked to solve a coding problem during the interview, so practice some common data science challenges beforehand. It’s all about demonstrating your technical prowess!
✨Collaboration is Key
This role involves working across teams, so highlight your teamwork skills. Share examples of how you've successfully collaborated with others in past projects. This will show that you can thrive in a hybrid working environment and contribute positively to team dynamics.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s approach to data science and their expectations for the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
