Job description
Like many popular marketplaces, we’re asset light – i.e., we don’t own any vehicles or employ any drivers. We work with our transport partners and use technology to disrupt the entire delivery and moving process and to optimise the most efficient journeys.
Sustainability is a core part of AnyVan’s mission and reducing environmental impact has always been at the heart of our business. We’re proud to say we’ve achieved carbon-neutral status on all our transport moves, and we won’t stop here.
We’ve continuously celebrated exciting growth and key milestones, a key highlight being a £125mn investment from Vitruvian partners to reinforce our position as the UK market leader. We’re expecting the next 5 years to be even more exciting.
Our platform might be driven by technology, but we know it’s our people that make AnyVan a great place to work. We think big, we think differently, and we empower our colleagues to make a difference. We know good ideas can come from anyone in any role – so if you’re a self-starter looking to ‘move’ your career forward – Team AnyVan would love to hear from you.
Our Data Science Team help ensure we deliver industry leading products/services for our customers and delivery partners, whilst minimising our environmental impact. As a Senior Data Scientist you will be comfortable programming and managing concepts and ideas alongside mentoring other data scientists to be delivering their best work.
What you'll be doing:
- Work with the Chief Data Scientist and other data scientists within a small team using data science techniques in creative ways to impact meaningful decisioning for the business
- Maintain and enhance our existing machine learning models to gain actionable business insights, developing, implementing and testing new modelling approaches
- Deliver high quality meaningful data science that ultimately supports meaningful decisioning to predict, measure and interpret business trends
- Present responsibilities of the team include; Heuristic routing, price optimisation, clustering techniques, outlier detection modeling, behavioural analysis, k-means, linear, logistic and many more regression techniques
- Communication is key - You will work closely with key stakeholders, team leads, product, engineering team and other data scientists to identify, scope, plan and manage projects,ensure that solutions are properly productionised and can be supported an complex technical issues and findings can be easily translatable to both technical and non-technical internal audiences
- Coaching and Mentoring members of the data science team in modelling and machine learning techniques
Skills and experience we think you'll need to be successful in the role:
- Bring scientific rigour combined with innovative thinking and the ability to conceptualise new applications for Data Science and tell actionable stories with data
- Proficient in using SQL to retrieve and manipulate data
- Experience of deploying ML models and pipelines into production encompassing coding standards and testing
- Challenge existing assumptions and spot opportunities to improve customer experience, make our operations more efficient and impact our carbon footprint and financial performance
- Ability to communicate complex findings to key stakeholders in a simple way, with excellent data visualisation and storytelling skills
- Thrive in a fast-moving and quickly changing environment
- You will need to enjoy working on new ideas and engaging people across the company at all levels to help make positive changes
We are extremely proud of our culture and believe in the many benefits that being in the office provides and all of our roles require regular time in one of our key offices depending on where you’re based (Hammersmith or Newcastle). If we are able to support visa sponsorship for a role it will be highlighted in the requirements section.
We support flexible and hybrid working wherever possible but some roles remain fully office based. Where we can support it, typical working patterns would be 3 days in the office 2 days from home. However, we appreciate everyone’s situation is unique and are open to conversations around the working patterns.
Diversity and Inclusion