Staff Applied Scientist, Optimisation
Level inferred from job title
Job description
Staff Applied Scientist role at Relay leading optimisation for the last-mile delivery network, making routing, pricing and scheduling decisions for couriers and the wider network. The role sits within the Operational Research team and involves developing solvers and algorithms that run live at scale.
At a glance
- Work mode
- Hybrid · London, United Kingdom
What you'll do
- Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network
- Model and optimise the decisions that define our last-mile delivery network and marketplace
- Develop our solvers and algorithms so they perform live, and at scale
- Partner with other Scientists to unite ML and recommender systems with Operational Research
- Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community
What we're looking for
- Bring deep expertise in operational research, whether from a PhD, publications, or years at the frontier in industry
- Come from operational research or industrial engineering, or from an advanced quantitative discipline, including trading, that has branched into optimisation
- Have built optimisation systems or ML models that run in production, and owned the outcome
- Are energised by large, messy problems, and know how to bring structure to them
- Collaborate generously, and explain complex ideas simply
Your team
Operational Research
A team of Operational Research Scientists who designed the decision architecture the network runs on and built Relay's in-house solver.
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About Relay
Relay is reshaping how goods move in an online era, backed by Europe's largest-ever logistics Series A ($35M) led by Plural, and a recently closed Series B ($95M). Relay is scaling faster than 99% of venture-backed startups and is assembling the most talent-dense team the logistics industry has ever seen.
Mission
To free commerce from friction
Key facts
- ~160 people
- logistics
- Backed by Europe's largest-ever logistics Series A ($35M) led by deep-tech investors Plural
- Recently closed Series B ($95M)
- ~160 people, around half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel handled
- In-house solver built and owned by the Operational Research team, running live at scale
- Routing, pricing and scheduling decisions made in real time and under uncertainty
- ML and recommender intelligence integrated into the decision models
- A flexible network: pitstops can change, warehouse automation can be reconfigured, and new processes roll out overnight
Partners & customers
What they value
- Aim with Precision
- Play to Win
- 1% Better Every Day
- All In, All the Time
- People-Powered Greatness
- Grow the Whole Pie