Data Scientist – Transport Modelling – Various UK Locations

Overview

As a Transport Data Scientist, you will turn large transport datasets into actionable insights to shape policy, planning and investment. You’ll join a global, collaborative team delivering data-driven transport solutions for major clients and international projects. You’ll work with cutting-edge data, modelling and AI techniques to solve real-world mobility challenges. This role offers autonomy, technical growth and opportunities to lead or specialise within a leading transport modelling group.

Pay / Benefits

• up to 10% pension
• 24 days (+10 bought) holidays
• free medical insurance
• income protection insurance

Responsibilities

• Analyse trend data, perform clustering and data fusion to support transport models
• Develop advanced inputs for transport models using large datasets
• Apply machine learning, AI and econometric methods to solve transport challenges
• Build predictive models and translate insights into client-ready recommendations
• Collaborate with cross-functional teams across Jacobs’ global modelling and analytics community
• Support data engineering tasks and data-driven decision making for policy and investment decisions

Key requirements

• Ddegree in Mathematics, Statistics, Data Science, Computer Science, Physics, Economics, Operational Research, Transport Planning, or another highly numerate discipline
• Experience with transport, mobility or travel demand analytics
• Strong proficiency in Python, R or equivalent for large-scale data analysis
• Experience handling large, complex datasets (trend analysis, data fusion, data engineering)
• Experience applying ML, AI, predictive modelling, econometrics or discrete choice modelling
• Ability to communicate complex technical concepts to varied audiences
• Ability to work independently and collaboratively in multidisciplinary teams

• curious and driven mindset
• strong analytical skills
• clear communication
• Python
• R
• data analysis

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