Data Scientist

Job Description

Job Summary: Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge Roles and Responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making - In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency - Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs - Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any) Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job: Enterprise Analytics Senior Management Partners across the global Tesco business Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, Linear -1-2 year experience in data science application in Retail or CPG & Logistic Regression, Decision Trees, Forecasting, Optimization Preferred algorithms - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital Powerpoint - Soft Skills: Analytical Thinking & Problem solving, Storyboarding