Hybrid Transport Data Scientist — ML & Modelling

Jacobs; Stafford; Hybride; GBP 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Up to 10% pension

Medical insurance

Résumé du poste

Jacobs is seeking an experienced Transport Data Scientist to join our growing data and analytics capability across the UK and internationally. You will transform massive datasets (e.g., GPS, Mobile Network Data) into insights guiding transport planning and policy.

You’ll work with senior technical leaders, develop inputs for models, apply ML/AI techniques, and build predictive models. The role offers hybrid working and opportunities to grow within a global team.

Qualifications

• Degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operational Research, Transport Planning, or another numerate discipline.
• Experience with transport data, mobility data, transport analytics, travel demand analysis, or transport modelling applications.
• Strong proficiency in Python, R, or equivalent tools for large-scale data analysis and modelling.
• Experience analysing large and complex datasets, including trend analysis, data fusion, data engineering and insight generation.
• Experience applying ML, Applied AI, Predictive Modelling, Advanced Econometrics, or Discrete Choice Modelling techniques.
• Ability to transform complex data into clear, actionable recommendations for clients and project teams.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Ability to work independently while collaborating effectively within multidisciplinary project teams.

Responsabilités

• Transform complex datasets into meaningful insights that inform transport policy, planning and investment decisions.
• Develop advanced inputs for transport models.
• Apply machine learning and AI-driven approaches to solve complex challenges.
• Build predictive models using machine learning techniques and discrete choice modelling methods.
• Turn large-scale data into actionable insights for clients and project teams.

Connaissances

Python

R

Data analysis

ML/AI

Data engineering

Communication

Independence

Formation

Mathematics/Statistics/Data Science degree

Description du poste

Jacobs is seeking an experienced Transport Data Scientist to join our growing data and analytics capability across the UK and internationally. You will transform massive datasets (e.g., GPS, Mobile Network Data) into insights guiding transport planning and policy.

You’ll work with senior technical leaders, develop inputs for models, apply ML/AI techniques, and build predictive models. The role offers hybrid working and opportunities to grow within a global team.