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For Companies At a Glance
- Tasks: Use data to solve business problems and enhance customer experiences.
- Company: Leading telecommunications company with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for growth.
- Why this job: Make a real impact by improving customer insights through data science.
- Qualifications: Experience in data analysis and model optimisation required.
- Other info: Join a collaborative team in a dynamic work environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading telecommunications company is seeking a Data Scientist to join their Data Science Chapter. In this hands-on role, you will utilize data and analytical thinking to solve business problems and improve customer experiences.
Responsibilities include:
- Building and optimizing data science models
- Analysing diverse datasets
- Working collaboratively within teams
This position is hybrid, offering flexibility in work patterns, and is located in Welwyn Garden City, Slough, or other offices.
Data Scientist - Customer Insights & Production ML (Hybrid) in Welwyn Garden City employer: Tesco Mobile
Contact Detail:
Tesco Mobile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Customer Insights & Production ML (Hybrid) in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects. Highlight how you've used analytical thinking to solve real-world problems, especially in customer insights.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science models and algorithms. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
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 - Customer Insights & Production ML (Hybrid) in Welwyn Garden City
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role. We want to see how your background in data science can help us improve customer experiences!
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 team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any data science projects, be sure to mention them! We love seeing practical examples of your work, especially those that demonstrate your analytical thinking and problem-solving skills.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Tesco Mobile
✨Know Your Data Science Models
Make sure you brush up on the data science models relevant to the role. Be prepared to discuss your experience with building and optimising these models, as well as any specific techniques you've used in past projects.
✨Understand Customer Insights
Since this role focuses on improving customer experiences, it’s crucial to understand how data can drive insights. Think of examples where your analytical thinking has led to tangible improvements in customer satisfaction or business outcomes.
✨Collaborative Mindset
This position requires working collaboratively within teams, so be ready to share examples of how you've successfully worked with others in the past. Highlight your communication skills and how you’ve contributed to team success.
✨Flexibility and Adaptability
With a hybrid work model, demonstrate your ability to adapt to different work environments. Share experiences where you’ve thrived in both remote and in-office settings, showcasing your flexibility and self-motivation.
