Transport Data Scientist: ML & Modelling for Smart Mobility

Jacobs; Newcastle upon Tyne; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension up to 10%

Health insurance

24 days holiday

Hybrid work

Job summary

Jacobs is seeking an experienced Transport Data Scientist to join its data and analytics capability. You'll work on challenging transport projects across the UK and internationally, turning large datasets into actionable insights for policy and planning.

Join a global team with senior technical leaders, hybrid working, and opportunities to grow as a technical specialist or leader in transport modelling and data science.

Qualifications

• Degree in Mathematics, Statistics or related field.
• Experience with transport data, mobility data, or transport modelling.
• Strong proficiency in Python, R, or equivalent for large-scale data analysis.

Responsibilities

• Trend analysis, clustering, data fusion and data engineering.
• Developing advanced inputs for transport models.
• Applying machine learning and AI-driven approaches to solve complex challenges.
• Building predictive models using machine learning and discrete choice modelling.
• Turning large-scale, complex data into actionable insights for transport policy and planning.

Skills

Python

R

Machine Learning

Data Visualization

Communication

Education

Degree in Mathematics, Statistics, Data Science, or related

Tools

SQL

APIs

Job description

Jacobs is seeking an experienced Transport Data Scientist to join its data and analytics capability. You'll work on challenging transport projects across the UK and internationally, turning large datasets into actionable insights for policy and planning.

Join a global team with senior technical leaders, hybrid working, and opportunities to grow as a technical specialist or leader in transport modelling and data science.