At RI, we have built a suite of innovative retail execution analytics products trusted by some of the world’s leading retail and consumer goods companies including Walmart, Woolworths, Diageo and Danone.
We provide head office, stores and suppliers with data-driven insights that direct action and capture value. We specialise in-store and are at the cutting edge of retail analytics technology, helping to identify and fix the causes of lost sales and lost profits from out-of-stocks, poor in-store execution, waste, markdown, and total loss.
We are looking to add a Decision Scientist to our Decision Science team based at our Head Office in Richmond, Surrey.
The huge amount of data that we’re harnessing requires creativity to transform data and insight into truly innovative solutions. This is where you will deliver. Your role will be focused on providing mathematical and quantitative subject matter expertise to ensure successful delivery of our projects.
We transform retail operations through advanced analytics, growing sales and profitability for our global retail and consumer goods clients.
You will have, or be expected to attain, a PhD in a numerical discipline such as applied or pure mathematics, statistics, physics, or computer science, and may have experience in your first role or be carrying out post-doctoral research in a top-tier academic institute. You will likely have acquired the following skills/experiences:
Familiarity with every item isn’t necessary, but we’d love to explore your experience at all levels.
We’re an equal opportunities employer, so we’re committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.