Senior Data Scientist - Operational Research & Optimisation

Job Title: Senior Data ScientistLocation: London (Camden Office)

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

Company: Dayjob.AI

Dayjob is the AI business that is bringing advanced logistics and optimisation to the trade economy - a £25bn market where planning is still done manually. From plumbers to skip hire, we’re replacing outdated planning with real-time, AI-powered dispatching that models how work is distributed across fleets. Our platform uses ML and heuristic algorithms inspired by the best in logistics, ride-sharing, and operations research to drive efficiency.

Since launch, we’ve onboarded paying customers and are working with leading waste and recycling firms across the UK. Our goal is to eliminate manual planning tasks and turn back-office teams’ workloads into proactive, real-time activities. We closed our pre-seed in 2024 and are now scaling the team toward £1M ARR.

If you dream at night of building the same tech that powers the likes of Uber or Deliveroo but applying it to the industries that keep the world moving, this is the role for you.

Founding Team

Fred & George met at the University of Oxford.George (CEO) was Head of Sales at Otta and launched the Grocery division at Deliveroo, scaling it to £100M GMV.Fred (CTO) is an expert in building products that optimise complex supply chains using AI and advanced analytics.Joe (Lead Engineer) has built software at Sky, DAZN, and Bulb and was previously Tech Lead at Otta, scaling from 100k to 1.5m users.

The Role: Senior Data Scientist – Operations Research

This is a rare opportunity to join as our founding data scientist to build and own the models that power the Dayjob platform. You’ll work directly with the founders and customers to design, test, and scale optimisation algorithms in real-world environments.

Candidate Description:

You’re deeply curious and pragmatic, and you care about solving real-world operational problems. You’ve built and deployed optimisation algorithms that balance multiple constraints in fast-changing systems.

You have:

Have a degree in mathematics, physics, computer science, data science or similar4+ years of experience working on optimisation, routing, scheduling, or applied OR problemsExtensive experience in developing Optimisation or machine learning solutions, ideally in a fast-paced company focusing on transportation/logisticsStrong Python and SQL skills, ideally with experience using solvers (e.g. OR-Tools, Gurobi, CPLEX)The ability to balance theoretical rigour with pragmatic constraints

Bonus if you’ve worked on:

Vehicle routing problems (VRP), especially with time windows, capacities, or trafficConstraint programming or metaheuristicsReal-time systems or streaming dataStart-up experience preferred

What the Job Involves:

Design and implement the algorithms that will power DayjobWork directly with customers to understand real-world constraints and edge casesPrototype quickly, then productionise in collaboration with the engineering teamShape our long-term data strategy and technical roadmapBuild internal tools to evaluate performance, trade-offs, and impact

What We Offer:

£70,000 – £100,000 depending on experienceMeaningful equity25 days holiday + your birthday offFlexible working (remote-friendly, office in Camden)Learning & development budgetA key role in defining our product and algorithms from the ground up

Application Process:

Intro call with the team (30 mins)Take home problem-solving task (2 hours)Technical interview (60 mins)Final chat with founders (45 mins)

Want to build the brains of the next-gen dispatch engine? We’d love to hear from you.