Senior Decision Scientist

Job description:

Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge.

In this job, I am accountable for:

Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:

• Understands business needs and in depth understanding of Tesco processes
• Builds on Tesco processes and knowledge by applying CI tools and techniques.
• Responsible for completing tasks and transactions within agreed KPI's
• Solves problems by analyzing solution alternatives

• 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 proactively identifying opportunities to help the larger Tesco business with areas of improvement.

Experience relevant for this job:

• Applied Math: Applied Statistics, Design of Experiments,
• 2 - 4 years experience in data science application in Retail or

Regression, Decision Trees, Forecasting, Optimization

CPG Preferred algorithms, Clustering, NLP

• Functional experience: Marketing, Supply Chain, Customer,
• Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS

Merchandising, Operations, Finance or Digital

PowerPoint, GitHub

• Business: Basic understanding of Retail domain
• Soft Skills: Analytical Thinking & Problem solving,

Storyboarding, Articulate communication