Senior Data Scientist
Core
Design and implement predictive/prescriptive AI/ML models and IoT-driven insights for infrastructure, environmental, and urban development projects.
Role type
Senior IC data scientist (infrastructure & IoT)
Builds
Predictive models, anomaly detection systems, and real-time inference solutions for connected assets
Domain
Infrastructure consulting, environmental engineering, urban development
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, MLOps (MLflow, Docker, CI/CD), cloud platforms (Azure), statistical modelling, optimisation techniques, time-series forecasting, causal inference, geospatial data analysis, IoT analytics
Preferred skills
Master's degree in CS/Statistics/Math, experience with smart cities, Azure AI/Data certifications, Power BI
Technologies
Azure, MLflow, Docker, PyTorch, TensorFlow, pandas, scikit-learn, SQL (via careerplan.io/jobs/744000153864785-senior-data-scientist-at-aecom)
Responsibilities
Define AI/ML roadmaps, develop predictive models for demand forecasting and optimisation, establish MLOps best practices, extract insights from complex datasets, run experiments (A/B testing, causal inference), collaborate on feature pipelines, analyse real-time sensor data, mentor junior staff, present technical outputs to stakeholders
Seniority
Senior, hands-on IC with mentorship responsibilities