Senior Data Scientist

Role summary

Senior Data Scientist is a role at AECOM in London, England, United Kingdom (hybrid). Posted 2026-08-14. Experience level: 2-5.

Job title

Senior Data Scientist

Company

AECOM

Location

London, England, United Kingdom

Work arrangement

hybrid

Category

Data Science

Experience level

2-5

Date posted

2026-08-14

Job description

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

Digital Senior Data Scientist

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.

Key Responsibilities

Define and execute AI/ML roadmaps aligned with AECOM’s business objectives, including sustainability and operational efficiency.

Develop and deploy predictive and prescriptive models for key use cases such as demand forecasting, optimisation, and anomaly detection in infrastructure projects.

Establish best practices for model lifecycle management, including MLOps, monitoring, and retraining, ensuring alignment with AECOM’s global standards.

Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.

Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.

Design and run experiments (e.g., A/B testing, causal inference) to measure the impact of data-driven initiatives on project outcomes.

Collaborate with data engineering teams to design feature pipelines and ensure data quality across diverse sources, including geospatial, environmental, and operational data.

Support integration of diverse data sources (batch, streaming, IoT) into unified analytics platforms tailored to AECOM’s global projects.

Analyse real-time sensor and telematics data to enable predictive maintenance and operational efficiency for connected assets in infrastructure projects.

Implement anomaly detection and streaming inference solutions to improve asset performance and reduce downtime.

Mentor junior data scientists and analysts, fostering a culture of innovation and excellence in analytics and modelling.

Promote best practices in data science and analytics, ensuring alignment with AECOM’s quality standards and project delivery frameworks.

Present work outputs to both technical and non-technical audiences, translating complex analytics and AI/ML concepts into clear, layman’s terms.

Qualifications

Minimum Requirements

3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.

Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience in geospatial and environmental data analysis.

Experience with MLOps tools (MLflow, Docker, CI/CD pipelines) and cloud platforms (Azure preferred), ensuring scalable and reliable solutions.

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.

Preferred Qualifications

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.

Additional Information

At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM

AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our team