Data Scientist London – Hybrid (2 Days in Office) £50,000–£65,000 This transport and logistics scale-up is at the forefront of optimisation and geospatial analytics. With a highly technical team of 16, they are driving innovation. Their flagship product suite, used by industry leaders like TFL and Stagecoach, delivers real-time insights and predictive analytics to improve efficiency and customer service. As a Data Scientist, you’ll support the development of products that leverage simulation-based modelling, predictive analytics, and optimisation techniques. This role is ideal for someone passionate about data science, with opportunities to work on impactful projects. Key Responsibilities Build and refine predictive models using machine learning techniques (e.g., regression, classification, clustering). Develop probabilistic and Bayesian models for real-time network understanding. Analyse and visualise data using GIS tools to uncover actionable insights. Work with databases and cloud computing resources (GCP preferred). Contribute to model deployment, monitoring, and productisation processes. What We’re Looking For 1 years in data science/machine learning (commercial or academic equivalent). Proficient in Python, with knowledge of Java (or a willingness to learn). Familiarity with SQL and cloud platforms is a plus. Strong foundation in traditional ML methods, probabilistic approaches, and Bayesian inference. Hackathons, internships, or independent projects are highly valued. A quantitative degree and ideally a Master’s in data science or a related field. Interview Process Introductory call: Take-home challenge: A short, practical task (48–72 hours). Final interview with the founders to assess culture fit and motivations.