Applied Data Scientist (Retail)

TL;DR

Applied Data Scientist (Retail): Building and implementing complex models and applications for category management with an accent on distilling complex problems into actionable insights. Focus on leveraging machine learning techniques and statistical modelling to deliver measurable value for global retail clients.

Location: London (Hybrid/Agile working options available)

Company

Global leader in Customer Data Science that partners with ambitious retailers and brands to put the customer at the heart of every decision.

What you will do

• Implement, support, and develop complex models and applications for client solutions.
• Distill complex business problems into meaningful, actionable insights using machine learning.
• Collaborate with client leadership to build reusable and scalable solutions in the category management space.
• Drive organizational change by redefining how data is harnessed to deliver measurable value.
• Work closely with Tesco to solve high-impact problems in retail analytics.

Requirements

• Degree in Statistics, Maths, Physics, Economics, or a similar field.
• Strong programming skills in Python and SQL.
• Experience with version control tools such as GIT.
• Solid understanding of analytical technologies and statistical modelling.
• Proven experience applying data science to solve real-world client problems.
• Must be based in or able to work from London

Nice to have

• Background in retail analytics, specifically exposure to Category Management.

Culture & Benefits

• Comprehensive rewards package typical of a leading technology company.
• Flexible working hours and agile working opportunities.
• Personal perks including your birthday off.
• Investment in cutting-edge technology within a nimble, small-business feel.
• Inclusive culture with active diversity networks (Gender Equality, Proud, Family, etc.).