Got Drive? Join AnyVan as we make moving anything, anywhere miles better and build a career that moves just as fast.

Back in 2009, our CEO Angus saw half-empty vans everywhere and knew there had to be a better way! That's how AnyVan began. He set out to create the world's most efficient logistics technology and help halve the number of wasted miles by filling those empty vans.

Since then we've become the nation's favourite way to move, with over 150k five-star reviews and 5 million customers in the UK and Europe. Our team of 400 AnyVanners across London, Cape Town and Bogota is proving that moving doesn't have to cost the earth by helping save 8,520 tonnes of Carbon each year.

Behind the scenes of our fast-growing logistics marketplace lives a constantly shifting puzzle of supply, demand, and people who really just want their stuff to show up on time.

That’s where you come in.

We’re looking for a Pricing Data Scientist who loves building models that make messy systems behave a little more predictably. Someone who gets a kick out of experimenting, iterating, and turning data into decisions that actually move the needle.

If improving ML-driven pricing engines, uncovering insights through clever experimentation, and shaping data-powered products sounds like your perfect day at work… buckle up. 🚚

What you'll be doing:

🎯 Level up our ML pricing models

Help design, evaluate, and productionise the next iterations of the models that power our pricing decisions—boosting performance, robustness, and impact on the business.

🧪 Experiment your way to smarter decisions

Support the development of adaptive experimentation systems that learn from how customers respond, keeping our pricing tuned to a marketplace that refuses to sit still.

🛠️ Build data science products that matter

Spot opportunities, collaborate across teams, and help turn data-driven ideas into tools and workflows that make the whole business run better.

📣 Make the complex sound simple

Translate model behaviour, findings, and tricky technical concepts into clear stories that non-technical teammates can understand and act on.

What you'll bring:

• 3+ years in a data science (or closely related) role
• Strong Python skills (pandas, scikit-learn or similar) and confidence in SQL
• A problem-solving mindset with serious analytical chops and attention to detail
• Creativity and pragmatism when facing knotty business problems
• Communication skills that land with both engineers and non-technical stakeholders

Bonus points for:

• Experience in pricing, marketplaces, logistics, e-commerce, or other revenue-focused spaces
• A track record of contributing to ML solutions used in real products or operations
• Some familiarity with causal modelling, uplift modelling, or policy evaluation
• Comfort working with autonomy in a fast-paced, occasionally chaotic, always interesting environment

What We Offer:

💰 Competitive Salary - Highly competitive salaries

🌴 Generous Time Off - 25 days +public holidays, Christmas Eve on us, Long-service perks capped at 30 days.

💪 Health & Wellbeing - On-site gym, Membership with Vitality, Enhanced sick pay

📈 Future Ready - The People’s Pension (5% you, 3% us)

👶 Family Support - Enhanced maternity pay

🚲 Easy Travel - 2 minutes’ walk from the tube, Octopus Electric Vehicles, a Cycle to Work Scheme with Showers and towels on site.

☕ Daily Perks - In-house barista coffee, free breakfast every day and local discounts

🎉 Culture & Community - Weekly drinks, fun socials, and rewards that take you places (literally - last winners hit the Alps)

🚀 Career Growth - Join a disruptive technology leader and fast forward your career move

Our company values are:

• Have fun, get it done (work hard play hard, satisfaction in results, do the right thing)
• Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker)
• One team thinking big (Collaborate and communicate, Celebrate wins , Embrace challenges)

DE&I

We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.