Senior Data Scientist - AI/IoT for Infrastructure

AECO; Manchester; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid work options

Day 1 onboarding at office

Job summary

AECOM is seeking a Digital Senior Data Scientist to join the Data Science & Analytics team. You will design and implement AI/ML strategies, work on IoT-driven insights, and deliver measurable value across infrastructure and environmental projects worldwide.

Reporting to the Data Intelligence Lead, you will focus on model lifecycle, experiments, and real-time data integration, mentoring junior staff and collaborating with cross-functional teams.

Qualifications

• 3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.
• Strong proficiency in Python and SQL, with experience in geospatial and environmental data analysis.
• Experience with MLOps tools (MLflow, Docker, CI/CD pipelines) and cloud platforms (Azure preferred).
• Proven ability to influence non-technical stakeholders and communicate complex concepts clearly.

Responsibilities

• Define and execute AI/ML roadmaps aligned with business objectives, including sustainability and operational efficiency.
• Develop and deploy predictive and prescriptive models for key use cases such as demand forecasting and anomaly detection in infrastructure projects.
• Establish best practices for model lifecycle management (MLOps, monitoring, retraining).
• Extract actionable insights from complex datasets to inform strategic decisions across domains.
• Mentor junior data scientists and analysts to foster innovation and excellence.

Skills

Python

SQL

ML/AI

MLOps

Azure

Data Visualization

Education

Master’s degree in Computer Science / Statistics / Applied Mathematics

Tools

MLflow

Docker

CI/CD

Azure

Job description

AECOM is seeking a Digital Senior Data Scientist to join the Data Science & Analytics team. You will design and implement AI/ML strategies, work on IoT-driven insights, and deliver measurable value across infrastructure and environmental projects worldwide.

Reporting to the Data Intelligence Lead, you will focus on model lifecycle, experiments, and real-time data integration, mentoring junior staff and collaborating with cross-functional teams.