At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That’s why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support.
At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations).
You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations.
About the Team
You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture.
This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home.