Senior Data Scientist
RemoteLondon, England, United Kingdom
Job Summary
Conduct independent research and development of data science and machine learning models to solve complex business problems and drive data-driven decision-making. Collaborate with cross-functional teams to apply predictive modeling, anomaly detection, and forecasting to infrastructure systems, ensuring models are integrated into scalable products and services. Perform cutting-edge research at the intersection of engineering models and AI while mentoring junior data scientists to foster continuous improvement. Communicate results and impact to technical and non-technical stakeholders, translating advanced analytics into actionable insights for engineering and operations teams.
Required Qualifications
- 5+ years of applied data science experience in water, wastewater, utilities, or smart infrastructure environments
- Demonstrated experience working with operational telemetry data (SCADA, AMI, IoT, sensor systems)
- Strong expertise in time-series modeling, anomaly detection, and forecasting for infrastructure systems
- Experience applying geospatial analytics and/or graph/network modeling in real-world systems
- Proven track record of deploying ML solutions into production, including data pipelines, MLOps, and model monitoring
- Ability to translate advanced analytics into actionable insights for engineering and operations teams
- Strong communication skills and experience working with public-sector or regulated environments
- M.Sc. (Master's degree) in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
- drive and ethics to succeed in working in small teams physically but in larger efforts virtually
- Self-drive to communicate constantly using web collaboration and video conferencing
Desired Qualifications
- PhD
- experience getting data science solutions into production
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