Our client is a leading technology group delivering digital products and services across media, advertising, gaming and investment. Its pricing technology business combines artificial intelligence and economics to help major consumer businesses optimise product prices and customer discounts, improving revenue while reducing promotional costs.
The organisation brings together data scientists, engineers, researchers and commercial specialists in a flat, open and collaborative environment. Employees are encouraged to exchange ideas across disciplines, apply advanced research to practical business challenges and take ownership of meaningful outcomes. This is an excellent opportunity to work with sophisticated analytical methods, influential clients and colleagues who are passionate about translating technology into measurable business value.
As an Analytics Consultant, you will help clients address strategic challenges such as revenue growth and promotional budget reduction. You will act as the bridge between clients and internal specialists, owning analytical quality and decision support from initial requirements through to final reporting.
You will define business problems, required data, project scope, KPIs and evaluation criteria. Working with existing pricing and coupon optimisation models, you will coordinate with data scientists, researchers, engineers and business colleagues to shape analytical approaches and ensure robust outputs.
You will also lead the interpretation of simulations and A/B test results, communicate findings clearly to clients and recommend practical next steps. By driving continuous improvement cycles, you will connect analytical insight with measurable management impact, including increased revenue and reduced costs.
Practical experience using Python for data analysis and visualisation.
Experience extracting and processing data with SQL.
Experience defining requirements, structuring business problems and generating insights within data analytics projects.
Ability to understand business context and translate it into appropriate KPIs, analytical approaches and evaluation measures.
Experience leading improvements in analytical output quality while working with clients and internal stakeholders.
Strong ability to translate technical and analytical findings into clear business recommendations.
Effective collaboration skills, with the ability to work across data science, engineering, research and commercial teams.
A proactive, ownership-oriented approach to solving client challenges and delivering measurable outcomes.
Foundational knowledge of statistics, causal inference and machine learning.
Experience designing, running or evaluating A/B tests.
Experience presenting analytical findings and communicating with clients.
Experience leading or managing data analytics projects.
