Senior Data Scientist - Pricing

AnyVan Ltd
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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 lies a symphony of ever-shifting supply, demand, and humans who really, really want their stuff delivered. That's where you come in.


We're on the lookout for a Senior Pricing Data Scientist who's part ML-engineer, part economist, part storyteller, and fully obsessed with building models that make complex systems behave beautifully.


If tuning state-of-the-art ML pricing systems, experimenting your way to insight, and shipping high-impact products sounds like your kind of fun... hop in, we saved you the front seat.


What you'll be doing:

Build and evolve our ML pricing engines Design, evaluate, and productionise smarter, more robust pricing models that help AnyVan make better decisions-and make our marketplace happier and healthier.


Run adaptive experiments like a scientist (because you are one) Implement systems that dynamically learn from customer behaviour so our pricing constantly adapts to a living, breathing, ever-changing marketplace.


Create new data science products Spot opportunities, shape solutions, and deliver tools that upgrade business processes and make data impossible to ignore.


Translate the complex into compelling Turn model decisions, findings, and technical trade-offs into clear, engaging stories for stakeholders across the business-no decoder ring required.


What you'll bring:

  • Solid experience in a pricing role in a fast moving consumer business
  • Deep comfort with Python (pandas, scikit-learn, etc.) and SQL
  • An analytical mindset paired with exquisite attention to detail
  • Creativity and pragmatism when tackling business problems
  • Communication skills sharp enough to cut through noise, whether to engineers or execs

Bonus points for...

  • A track record of delivering real-world ML solutions
  • Exposure to causal modelling, uplift modelling, or policy evaluation
  • The ability to operate independently in a fast-paced, occasionally chaotic, always exciting 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.


#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.