At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture.
responsibilities :
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 nonexperts. 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.
requirements-expected :
We are looking for ambitious individuals with 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
