National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist - Operational Research & Optimisation

Dayjob
united kingdom of great britain and northern ireland, uk
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Job Title: Senior Data ScientistLocation: London (Camden Office)Company: Dayjob.AIDayjob 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 From plumbers to skip hire, we’re replacing outdated planning with real-time, AI-powered dispatching that models how work is distributed across fleets.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 TeamFred & 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 ResearchThis 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 constraintsBonus 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 preferredWhat 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 impactWhat 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 upApplication 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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.