Data Scientist – GCP | Python | BigQuery | Forecasting & Planning Models
Overview
We are seeking an experienced Data Scientist to support a high-impact client engagement focused on building advanced analytics, forecasting, and planning capabilities within the UK Energy and Utilities sector. This role will work closely with business and technical stakeholders to develop predictive models, enhance enterprise data solutions, and deliver actionable insights that support strategic decision-making.
The ideal candidate will have solid expertise in Google Cloud Platform (GCP), particularly BigQuery, along with hands-on experience in developing forecasting and planning models, time series analysis, statistical modelling, and data visualisation using Looker Studio. Experience with UK Energy Imbalance and Settlements processes is a plus, enabling the candidate to develop analytical solutions that support operational forecasting, settlement accuracy, and commercial performance.
Key Responsibilities
Collaborate with business and technical stakeholders to understand business challenges and translate them into advanced analytics and data science solutions.
Design, develop, and deploy forecasting and planning models to support operational and strategic business decisions.
Build and optimise time series forecasting models using historical data and external variables where applicable.
Develop predictive models to support energy demand forecasting, imbalance analysis, settlement optimisation, and operational planning.
Analyse settlement and imbalance data to identify trends, anomalies, financial impacts, and opportunities for process improvement.
Develop scalable data pipelines and analytical datasets within BigQuery to support data science and reporting use cases.
Create interactive dashboards and visualisations in Looker Studio to communicate model outputs, forecasts, settlement insights, and business performance.
Evaluate model performance, validate assumptions, and continuously i
📌 Data Scientist (Gurugram)
🏢 EXL
📍 Gurugram