Jobs in Manchester, United Kingdom

About the role

AECOM is seeking a  Senior Data Scientist  to join our  Data Science & Analytics team, contributing to transformative data-driven decision-making across global projects. As part of AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors. Reporting to the Data Intelligence Lead, this role will focus on designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion for solving complex challenges in the built environment.

What you'll bring

• 3–5+ years of experience in data science or applied machine learning
• Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience in geospatial and environmental data analysis.
• Proven ability to influence non-technical stakeholders and communicate complex concepts clearly, especially in the context of infrastructure and environmental projects.
• Experience mentoring and coaching technical teams, promoting collaboration and innovation.
• You will have the flexibility you need to do your best work with hybrid work options.
• Experience with MLOps tools (MLflow, Docker, CI/CD pipelines) and cloud platforms, ensuring scalable and reliable solutions.
• Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.
• Familiarity with time-series forecasting, optimisation, and causal inference, particularly in project planning and resource management.
• Experience with IoT analytics and real-time data processing, including applications in smart cities and connected infrastructure.
• Certifications such as Azure AI Fundamentals, Azure Data Fundamentals, or Power BI Data Analyst Associate.
• preferably in infrastructure, environmental, or urban development sectors.
• Azure preferred