Data Scientist - Computer Vision

This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution to develop and deploy Computer Vision solutions across Tesco’s environment. 

You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager.

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This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution for Tesco to move forward in the field. 

You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager. 

We are looking for ambitious individuals with around one year experience in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental.  

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. An advanced education degree in computer vision subjects or a higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, or relevant work experience. 

Finally, strong programming experience in Python. 

  The ideal candidate would have experience of the following: 

• Deep Learning frameworks: Tensorflow and/or PyTorch 

• Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models 

• Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git 

• Working knowledge of image processing, and video technology 

• Object tracking (optional) 

• Real-time video processing (optional) 

We offer excellent benefits that help make Tesco a great place to work.  These include but aren’t limited to:

• Annual bonus scheme - up to 20%
• Holiday starting at 25 days plus a personal day (plus 8 Bank holidays)
• On-site state of the art gym at our Welwyn Campus with discounted “Gympass” membership & free health checks via Nuffield Health
• Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution
• Life Assurance - 5 x contractual pay
• Share Schemes – Join our ‘Buy As You Earn’ & ‘Save As You Earn’ share schemes after 3 months service
• Colleague Clubcard (including a 2nd card for a family member) after 3 months service
• Colleague Discounts:
• 10% increasing to 15% after every pay day for a four day period, off most purchases at Tesco
• 10% off One Stop
• 10% off pay monthly & SIM only deals with Tesco Mobile
• 20% off all F&F purchases
• 20% off car, pet and home insurance at Tesco bank. T&C’s apply
• 25% off Tesco Café
• 50% off complete glasses purchases & free eye tests (other offers available) at Vision Express
• 50% off health checks at Tesco Pharmacy
• An exclusive deals and discounts website saving you money on everyday purchases, treats for the family, eating out and utility bills for the home
• Cycle to work scheme
• Shuttle Bus Service to/from Welwyn Garden City Station to Welwyn Campus
• Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want
• Our Employee Assistance Programme helps you deal with life’s challenges
• Financial wellness - Tesco has partnered with experts to help you make the most of your money
• Get involved in a range of fundraising activities with our long-term charity partners

Our vision here at Tesco is to serve Britain’s shoppers a little better every day.

We want to become every customer's favourite way to shop, whether they are online or in our stores.

As one of the world’s largest retailers, Tesco has over 6,000 stores globally, successful online and digital businesses and a truly innovative culture. We operate in complex environments and with a volume of data few other companies have access to. We have embraced Data Science solutions full on, exploiting expert techniques to drive the business ambition of becoming a multi-channel leader and we are looking for curious individuals who want to make a mark and contribute to this ground breaking work.

If that sounds exciting, then we'd love to hear from you.

The position can be based in either our London or Welwyn Garden City offices.