Data Scientist

Data Scientist II – Operational Research

📍Hybrid / London (3 days in office)

💰£70k – £85k + equity + benefits

Are you passionate about applying deep technical thinking to real-world logistical challenges? We’re looking for an experiencedData Scientistwith a strong background inOperational Researchto join one of Europe’s fastest-scaling Series A tech companies, on a mission to transform e-commerce logistics through AI and optimisation.

🧠 The Opportunity

This is a hands-on, high-impact role, sitting at the intersection ofcombinatorial optimisation, routing, and applied data science. You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale.

🔍 What You’ll Be Doing

• Designing, testing, and deploying optimisation algorithms to improve daily routing and delivery operations
• Collaborating with analysts and engineers to move from prototype to production
• Using OR techniques (graph theory, scheduling, network optimisation) to solve high-impact problems
• Analysing inefficiencies and proposing improvements using rigorous experimentation
• Translating operational constraints into scalable, data-driven solutions

📐 What We’re Looking For

• Strong academic or industry experience in Operational Research, especially incombinatorial optimisation, graph theory, and simulation
• Python and SQL proficiency
• Analytical mindset with the ability to move from ambiguity to clarity
• Proven experience applying models in a commercial or operations-heavy setting
• MSc or PhD in a quantitative field (e.g. OR, AI, Maths, Stats, Physics, Engineering)
• Strong communication skills – able to present complex ideas simply and clearly

🚀 Nice-to-Haves

• Experience working withgeospatial data, routing, scheduling, or network optimisation
• Comfort developing custom algorithms or heuristics
• Exposure to machine learning techniques
• Experience in logistics, marketplaces, mobility, or similarly complex environments

🎁 What’s on Offer

• Generous equity stake
• 25 days holiday + bank holidays
• Excellent private healthcare
• Enhanced parental leave (20 weeks maternity, 4 weeks paternity)
• Hybrid working from a London-based, dog-friendly office
• Regular team socials, offsites, and Friday lunches
• Free gym membership and cycle-to-work scheme
• Access to cutting-edge AI tooling and high-calibre leadership

If you’re an OR-savvy problem solver who thrives in fast-paced environments and wants to shape the future of AI in logistics, we’d love to hear from you.