Transport Modeller – AI-Driven Data Modelling

Mott MacDonald

Southampton

Hybrid

GBP 55,000 - 75,000

Full time

2 days ago
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Benefits offered by this job

Private medical insurance
Pension matching 4.5–7%
Life assurance up to 4x salary
Flexible benefits
Annual bonus schemes

Job summary

Mott MacDonald is expanding its Transport Modelling team within its Transport & Mobility Solutions business. You will lead modelling projects for major clients, combining established techniques with data automation and emerging AI/digital technologies to improve quality and efficiency.

You will contribute to modelling tasks across UK projects, collaborating with multidisciplinary teams and engaging with early career professionals to build cross‑sector skills.

Qualifications

  • Practical experience developing or applying strategic transport models.
  • Experience across model development, calibration, validation, forecasting and application.
  • Ability to deliver high‑quality outputs with limited supervision.

Responsibilities

  • Develop multi‑modal transport models using listed software.
  • Perform data analysis, calibration, validation and scenario testing.
  • Interpret model outputs to inform transport strategies and business cases.
  • Ensure outputs meet guidance, QA and best practice.
  • Use scripting/automation to improve processes and reproducibility, exploring AI opportunities.
  • Communicate findings clearly to colleagues and clients.

Skills

Transport modelling experience
Model development
Data analysis
Issue investigation

Education

numerical/analytical qualification

Tools

PTV Visum
SATURN
CUBE
Python
GIS

Job description

Mott MacDonald is expanding its Transport Modelling team within its Transport & Mobility Solutions business. You will lead modelling projects for major clients, combining established techniques with data automation and emerging AI/digital technologies to improve quality and efficiency.

You will contribute to modelling tasks across UK projects, collaborating with multidisciplinary teams and engaging with early career professionals to build cross‑sector skills.

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