At a Glance
- Tasks: Build and evolve ML pricing engines while running adaptive experiments.
- Company: Join AnyVan, a leader in efficient logistics technology.
- Benefits: Competitive salary, generous time off, and health perks.
- Why this job: Make a real impact in a fast-paced, innovative environment.
- Qualifications: Experience in pricing, strong Python and SQL skills required.
- Other info: Enjoy a vibrant culture with fun socials and career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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! Thatâs how AnyVan began. He set out to create the worldâs most efficient logistics technology and help halve the number of wasted miles by filling those empty vans. Since then weâve become the nationâs 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 doesnât 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. Thatâs where you come in.
What youâll be doing:
- Build and evolve our ML pricing engines.
- Run adaptive experiments like a scientist (because you are one).
- Translate the complex into compelling: turn model decisions, findings, and technical trade-offs into clear, engaging stories for stakeholders across the businessâno decoder ring required.
What youâll 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.
- 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 Peopleâs Pension (5% you, 3% us).
- Family Support - Enhanced maternity pay.
- Easy Travel - 2 minutesâ 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.
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Analyst and Other
Industries: Internet Marketplace Platforms and Transportation, Logistics, Supply Chain and Storage
Senior Data Scientist - Pricing in London employer: AnyVan
Contact Detail:
AnyVan Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist - Pricing in London
â¨Tip Number 1
Network like a pro! Reach out to current or former employees at AnyVan on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
â¨Tip Number 2
Prepare for the interview by diving deep into AnyVan's mission and values. Show us how your experience aligns with their goals, especially in pricing and data science. We love candidates who are genuinely excited about what we do!
â¨Tip Number 3
Practice your storytelling skills! Youâll need to translate complex data findings into engaging narratives. Think of examples from your past work where you made data-driven decisions that had a real impact.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre serious about joining the AnyVan team and making a difference in logistics.
We think you need these skills to ace Senior Data Scientist - Pricing in London
Some tips for your application đŤĄ
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that youâre genuinely excited about the opportunity to join AnyVan and make a difference in the logistics world.
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist - Pricing role. Highlight your experience with pricing strategies, machine learning, and any relevant projects. We love seeing how your skills align with what weâre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Use it to explain why youâre the perfect fit for this role and how your background can help us improve our pricing engines. Keep it engaging and to the point!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates. Plus, itâs super easy!
How to prepare for a job interview at AnyVan
â¨Know Your Pricing Models
Make sure you brush up on various pricing models and strategies relevant to the logistics industry. Be ready to discuss how you've applied these in your previous roles, especially in fast-moving consumer businesses.
â¨Show Off Your Technical Skills
Since the role requires solid experience with Python and SQL, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and machine learning concepts.
â¨Communicate Clearly
Youâll need to translate complex data findings into engaging stories for stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work and how it benefited the business.
â¨Embrace the Chaos
This role is in a fast-paced environment, so be prepared to discuss how you handle pressure and adapt to changing situations. Share examples of how you've thrived in chaotic settings and turned challenges into opportunities.