At a Glance
- Tasks: Design and enhance deep learning models for large-scale retail time series.
- Company: Join Tesco's innovative Data Science team in a diverse environment.
- Benefits: Flexible remote/hybrid work, competitive salary, and career development opportunities.
- Other info: Collaborative culture with opportunities for growth and learning.
- Why this job: Make a real impact on retail forecasting with cutting-edge technology.
- Qualifications: Strong programming skills and experience in statistical analysis required.
The predicted salary is between 60000 - 80000 £ per year.
Tesco is seeking a Senior Data Scientist to join their Data Science team in Welwyn Garden City. In this role, you will design and improve deep learning and machine learning models for large-scale retail time series. A strong background in programming and statistical analysis is essential.
Your responsibilities will include:
- Collaborating with engineering and product teams
- Building robust training pipelines
- Ensuring models deliver measurable business value
Tesco values diversity and offers a blended work pattern combining office and remote working.
Senior Data Scientist: Neural Forecasting (Remote/Hybrid) employer: WeAreTechWomen
Tesco is an excellent employer that fosters a collaborative and inclusive work culture, offering employees the flexibility of a hybrid working model. With a strong commitment to diversity and professional development, team members have ample opportunities for growth and innovation in the rapidly evolving field of data science. Located in Welwyn Garden City, employees benefit from a supportive environment that encourages creativity and the application of cutting-edge technology to drive meaningful business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist: Neural Forecasting (Remote/Hybrid)
✨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 might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your deep learning and machine learning projects. When you get the chance to chat with the team, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be ready for technical interviews! Brush up on your programming and statistical analysis skills. Practising common data science problems will help you feel more confident when tackling those tricky questions.
✨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 joining the Tesco team and contributing to their innovative projects.
We think you need these skills to ace Senior Data Scientist: Neural Forecasting (Remote/Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 at Tesco. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Since this role requires a strong background in programming and statistical analysis, make sure to mention specific languages and tools you’re proficient in. We’re keen to know how you’ve applied these skills in real-world scenarios.
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 WeAreTechWomen
✨Know Your Models Inside Out
Make sure you can discuss your experience with deep learning and machine learning models in detail. Be prepared to explain how you've designed and improved these models in previous roles, especially in the context of time series data.
✨Showcase Your Programming Skills
Brush up on your programming skills, particularly in languages like Python or R. Be ready to demonstrate your coding abilities during the interview, as well as how you've used them to build robust training pipelines.
✨Collaborate Like a Pro
Since this role involves working closely with engineering and product teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you ensure that your models deliver measurable business value.
✨Embrace Diversity and Flexibility
Tesco values diversity and offers a blended work pattern, so be prepared to discuss how you thrive in diverse teams and adapt to different working environments. Share your thoughts on remote versus office work and how you balance both effectively.
