Data Scientist, AnyVan

• Strong academic background in Operations Research, Computer Science, Applied Mathematics, Machine Learning, or Statistics (or fields related to algorithms)
• Some experience and a passion for developing Optimisation or machine learning solutions in a fast faced environment
• Experience developing scalable algorithms to large scale combinatorial optimisation problems such as vehicle routing, scheduling and facilities location
• Some knowledge of some of the techniques like mixed integer programming, decomposition techniques, meta heuristics, approximate algorithms, constraint programming, machine learning, deep learning
• Hands on experience in developing production-ready with some programming language (Python/Java/C++)Excellent written and verbal communication skills in English with the ability to explain complex problems simply to both technical and non-technical audiences
• Please note that this role is based in our office in London 3 days a week and we are looking for candidates who are currently based in the UK and who can commute to Hammersmith on a regular basis

Desirable

• 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 Data Scientist in our Routing and Optimisation team you will help us to design & develop scalable, innovative algorithms for a variety of complex decision problems
• As a Data Scientist you will be comfortable programming and managing a wide range of concepts and ideas related to this
• Work 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
• Support the senior data scientists and deliver high quality meaningful data science that ultimately supports meaningful decisioning to predict, measure and interpret business trends
• Gain exposure to and be comfortable working with; 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 be able to interact with a range of key stakeholders, to help identify, scope, plan and manage projects and ensure findings can be easily translatable to both technical and non-technical internal audiences