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- Tasks: Build and optimise data science models while analysing diverse datasets.
- Company: Leading telecommunications company with a strong focus on innovation.
- Benefits: Flexible hybrid work pattern, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on customer experiences through data-driven insights.
- Qualifications: Strong data and analytical skills with a passion for problem-solving.
- Other info: Collaborative team environment with exciting projects in data science.
The predicted salary is between 30000 - 50000 £ per year.
A leading telecommunications company is looking for a Data Scientist to join their Data Science Chapter. This hands-on role focuses on building and optimizing data science models while analyzing diverse datasets and collaborating within teams. The position is based in Welwyn Garden City, Slough, offering a hybrid work pattern that provides flexibility. The ideal candidate will utilize their data and analytical skills to solve business problems and enhance customer experiences.
Hybrid Data Scientist: Customer Insights & Production ML in Slough employer: Tesco Mobile
Contact Detail:
Tesco Mobile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist: Customer Insights & Production ML in Slough
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects that highlight your analytical prowess. We want to see how you’ve tackled real-world problems with your models.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and data analysis techniques. We recommend mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid Data Scientist: Customer Insights & Production ML in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science skills and experience relevant to the role. We want to see how you've tackled similar challenges in the past, so don’t hold back on those impressive projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: In your application, be sure to mention specific tools and techniques you’ve used in data analysis. We’re keen to see your hands-on experience with data science models, so don’t forget to include any relevant projects or outcomes.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents to 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 how you've used them to solve real business problems.
✨Showcase Your Analytical Skills
During the interview, highlight specific examples where your analytical skills made a difference. Discuss the datasets you've worked with and how your insights led to improved customer experiences or operational efficiencies.
✨Collaboration is Key
This role involves working within teams, so be ready to talk about your collaborative experiences. Share instances where you successfully worked with others to achieve a common goal, especially in a data-driven context.
✨Embrace the Hybrid Work Model
Since the position offers a hybrid work pattern, express your adaptability and comfort with both remote and in-office work. Discuss how you manage your time and productivity in a flexible work environment.
