ABOUT PROJECT
The customer is a British company producing electricity with zero carbon emissions.
REQUIREMENTS
5+ years of experience in the data science field
Strong Python skills and experience with core DS/ML libraries
Experience with time‑series analysis and predictive modeling
Hands‑on experience in anomaly detection
Ability to build optimization models
Educated to degree or equivalent discipline with a solid analytical background as well as commercial experience with data science and statistical modelling techniques
At least an Upper-Intermediate level of English
RESPONSIBILITIES
Develop and improve data‑driven models for forecasting, optimization, and operational insights
Analyze large‑scale sensor, process, and operational datasets to identify trends, risks, and improvement opportunities
Build and validate ML models for prediction, anomaly detection, and risk assessment
Create scalable data‑science pipelines and collaborate closely with the team
Translate business needs into analytical solutions and present insights to stakeholders
Ensure models are production‑ready, monitored, and continuously improved
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