Founding Data Scientist
Founding Data Scientist - Operations Research
Relay is a warehouse-to-doorstep delivery network purpose-built to scale to the demands of e-commerce. We help the most important retailers in the UK (and one day, the world) to deliver faster, more affordably, and more sustainably than existing solutions.
We’re looking for an exceptional data scientist to join our team with a focus on operations research. In this role, you can expect to…
Own and develop our core routing and dispatch policies
Deploy new optimisation methods
Partner closely with team members across engineering and operations to operationalise your work
Create the foundations of Relay’s operations research modelling and processes
Frequently present your work to the company’s senior leadership
Regularly spend time in the field understanding how the optimisations you own impact the on-the-ground reality for our couriers and end-consumers
You might be a great fit for this role if…
You have a track record of driving operational efficiency in logistics or an equally operations-heavy industry (manufacturing, financial technology, energy)
You enjoy operating at the intersection of theory and practice, measuring your work by the impact it has on the real world.
You have high agency and take pride of ownership in your work. You naturally take initiative, seeking out the best opportunities for impact.
You have deep empathy for the humans whose behaviour and success your work helps guide, including customers, partners, and your fellow colleagues. You seek out the chance to hear directly from them and go out of your way to incorporate their feedback into your work.
You value and practise clear communication, active listening, and intentional collaboration.
We are looking for candidates who…
Have at least four years of industry experience in operations research and optimisation
Have worked in- or alongside high-performing technology teams for at least four years
Have a degree (undergraduate or graduate) in a quantitative discipline such as statistics, physics, maths, economics, or computer science
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