Senior Data Scientist

AECOM
Manchester
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Stakeholder communication","Influence non-technical stakeholders","Mentoring","Collaboration","Problem-solving"]

Design and implement predictive and prescriptive AI/ML models that drive measurable value across infrastructure, environmental, and urban development projects. Own AI/ML roadmaps, deliver model lifecycle best practices with MLOps and monitoring, and collaborate with data engineering to build reliable feature pipelines from batch, streaming, and IoT sources. Analyze real-time sensor/telematics data, run experiments (A/B testing, causal inference), present insights to technical and non-technical stakeholders, and mentor junior team members.

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FursaFursa
AECOM
AECOM
3 days ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design and implement predictive and prescriptive AI/ML models that drive measurable value across infrastructure, environmental, and urban development projects. Own AI/ML roadmaps, deliver model lifecycle best practices with MLOps and monitoring, and collaborate with data engineering to build reliable feature pipelines from batch, streaming, and IoT sources. Analyze real-time sensor/telematics data, run experiments (A/B testing, causal inference), present insights to technical and non-technical stakeholders, and mentor junior team members.
Location: Manchester
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and execute AI/ML roadmaps aligned with business objectives, including sustainability and operational efficiency.
  • •Develop and deploy predictive and prescriptive models for demand forecasting, optimization, and anomaly detection in infrastructure projects.
  • •Establish model lifecycle best practices, including MLOps, monitoring, and retraining aligned to global standards.
  • •Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.
  • •Collaborate with data engineering to integrate batch, streaming, and IoT data into analytics platforms, and analyze sensor/telematics data for predictive maintenance and operational efficiency.

Key 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, including geospatial and environmental data analysis.
  • •Experience with MLOps tools (MLflow, Docker, CI/CD pipelines) and cloud platforms (Azure preferred).
  • •Ability to influence non-technical stakeholders and communicate complex concepts clearly for infrastructure and environmental work.
  • •Experience mentoring and coaching technical teams to promote collaboration and innovation.
Experience:3+ yearsInfrastructureEnvironmentalUrban developmentIoTSmart cities
Education:
Skills:Stakeholder communicationInfluence non-technical stakeholdersMentoringCollaborationProblem-solving
Certifications:Azure AI FundamentalsAzure Data FundamentalsPower BI Data Analyst Associate
Languages:English
Tech Stack:PythonPandasScikit-learnPyTorchTensorFlowSQLMLOpsMLflowDockerCI/CDAzurePower BIGeospatial dataEnvironmental dataTime-series forecastingA/B testingCausal inferenceIoT analyticsStreaming inferenceTelematics

Company Brief

AECOM
AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.
Industry: Civil Engineering
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 1990
Glassdoor
Glassdoor: 3.6
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