Senior Data Scientist at Aecom USA

Glasgow, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, MLOps, Azure, Predictive Modeling, Prescriptive Modeling, IoT, Geospatial Analysis, Time-Series Forecasting, Optimization, Causal Inference, Streaming Data, Anomaly Detection, Mentoring

Industry

Civil Engineering

Description

Company DescriptionWork 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 DescriptionAECOM 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.QualificationsMinimum 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 InformationAbout AECOMAECOM 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 teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed.You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address [email protected] if you would like to apply through the Disability Confident Interview Scheme.All your information will be kept confidential according to EEO guidelines. State/Province: Cambridgeshire Business Group: DCS Legal Entity: AECOM Limited Business Line: Geography OH Work Location Model: Hybrid Operating Group: International Primary Location: UK - Cambridge - Wellbrook Court

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Responsibilities

The Senior Data Scientist will define and execute AI/ML roadmaps, developing and deploying predictive and prescriptive models for use cases like demand forecasting and optimization in infrastructure projects. This role also involves establishing best practices for model lifecycle management, including MLOps, and extracting actionable insights from complex datasets.