What’s in it for you Benefits We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Buy holiday salary sacrifice scheme (for salaried roles) Private medical insurance Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution Life Assurance - 5 x contractual pay 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave The right to request flexible working from your first day with us Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here 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 Click Here to read more about the full range of benefits we have available for our colleagues About The Role We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about flexible working. 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. So, talk to us throughout your application about how we can support. Due to team growth we have an exciting opportunity for an experienced Data Scientist or Senior Data Scientist with either forecasting or strong statistical, probabilistic or time series modelling experience to join our team This is a hybrid role based out of our Welwyn Garden City office. About The Team At Tesco, our Data Science team focuses on modelling sophisticated 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 colleagues, so they can gain expertise in different subjects. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team expertise; knowledge-sharing events are regular. Furthermore, we have a phenomenal work-life balance, team days, opportunities to attend and speak at conferences and a relaxed but very engaging culture. You will be responsible for Using your analytical mentality you will find solutions to sophisticated problems. Apply, modify and help design algorithms and mathematical models to tackle forecasting business problems on top of big data architectures (Hadoop, Spark). Validate, document and present the modelling process and performances, as well as communicate sophisticated solutions in a clear, understandable way to non-experts. Promote data science across Tesco and promote Tesco across the external community. Mentor or support junior members of the team You will need We are looking for ambitious Data Scientists with forecasting experience and a mix of statistics, programming skills, and familiarity with time series analysis. You will have experience in one or more of the following fields: probabilistic modelling, forecasting, or time series modelling. Experience of machine learning techniques is also preferred. Please note that we are able to consider individuals with either proven industry experience working as a Data Scientist or someone who has just finished their PhD in a mathematical, engineering or scientific subject area. Previous forecasting or strong statistical experience is a must.