At a Glance
- Tasks: Build scalable solutions using machine learning and computer vision to tackle business challenges.
- Company: Join Tesco's innovative Data Science team with a focus on collaboration and growth.
- Benefits: Enjoy a competitive salary, annual bonus, 25+ days holiday, and personal development time.
- Other info: Flexible work-life balance and opportunities for professional growth across various business domains.
- Why this job: Make a real impact by optimising customer experiences and driving innovation in a dynamic environment.
- Qualifications: Experience in data science, machine learning, and a passion for continuous learning.
The predicted salary is between 50000 - 60000 € per year.
About The Role
At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, computer vision, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.
We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge‑sharing events and a collaborative, inclusive environment that values work‑life balance and professional growth.
What Is In It For You
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day
Computer Vision Data Scientist employer: Limelight Health
At Tesco, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. Our Data Science team not only tackles complex challenges but also enjoys a culture of continuous learning, with dedicated time for personal development and opportunities to rotate across various business domains. With competitive benefits like an annual bonus scheme and generous holiday allowances, we ensure our employees have the support they need to grow both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tesco on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in computer vision and machine learning. When you get the chance to chat with recruiters, having tangible examples of your work can set you apart from the crowd.
✨Tip Number 3
Stay updated on industry trends! Follow the latest advancements in AI and data science. Being able to discuss recent developments during interviews shows your passion and commitment to continuous learning, which Tesco values.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Tesco team and ready to contribute to their innovative projects.
We think you need these skills to ace Computer Vision Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Computer Vision Data Scientist role. Highlight relevant experience and skills that align with the job description, especially in machine learning and computer vision.
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 Tesco's mission. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on any projects related to computer vision or machine learning, make sure to mention them. Include links to your GitHub or portfolio if applicable, as this gives us a better idea of your hands-on experience.
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!
How to prepare for a job interview at Limelight Health
✨Know Your Tech
Make sure you brush up on the latest advancements in computer vision and machine learning. Be ready to discuss specific projects you've worked on, especially those that relate to personalising customer experiences or optimising operations.
✨Show Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach complex business challenges using data science techniques. Practise articulating your thought process clearly and logically.
✨Emphasise Continuous Learning
Since the role values personal development, be prepared to share how you stay updated with industry trends. Mention any courses, workshops, or conferences you've attended recently that relate to data science or AI.
✨Cultural Fit Matters
Tesco values a collaborative and inclusive environment, so be ready to discuss how you work in teams. Share examples of how you've contributed to a positive team culture or helped colleagues grow professionally.
