At a Glance
- Tasks: Design and enhance deep learning models for retail time series data.
- Company: Join Tesco, a leading retailer with a commitment to diversity.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a real impact in retail using advanced data science techniques.
- 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) in Welwyn Garden City 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 continuous professional development, team members have ample opportunities for growth and innovation in the rapidly evolving field of data science. Working in Welwyn Garden City, you'll be part of a forward-thinking team dedicated to leveraging advanced analytics to drive meaningful business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist: Neural Forecasting (Remote/Hybrid) in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tesco on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your deep learning and machine learning projects. This will help us demonstrate our expertise and make a lasting impression.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on programming and statistical analysis. We can use platforms like LeetCode or HackerRank to sharpen our skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we can deliver measurable business value at Tesco.
We think you need these skills to ace Senior Data Scientist: Neural Forecasting (Remote/Hybrid) in Welwyn Garden City
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming and statistical analysis skills in your application. We want to see how your experience aligns with the role of designing and improving deep learning and machine learning models.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your background fits with the responsibilities mentioned, like collaborating with engineering and product teams. We love seeing candidates who take the time to connect their experience to our needs.
Quantify Your Achievements:Whenever possible, use numbers to showcase your impact in previous roles. Whether it’s improving model accuracy or reducing processing time, we appreciate clear examples of how you’ve delivered measurable business value.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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.
✨Brush Up on Programming Skills
Since a strong programming background is essential, review the languages and tools commonly used in data science, such as Python, R, or SQL. Be ready to demonstrate your coding skills, perhaps through a live coding exercise or by discussing past projects.
✨Showcase Collaboration Experience
Tesco values teamwork, so be prepared to share examples of how you've collaborated with engineering and product teams. Highlight any successful projects where your contributions led to measurable business value, as this will resonate well with their goals.
✨Understand Tesco's Business Model
Familiarise yourself with Tesco's operations and how data science plays a role in their retail strategy. This knowledge will help you tailor your answers to show how you can contribute to their specific needs and challenges.
