Position Overview & Institutional Context
Peshawar Electric Supply Company (PESCO) invites applications from analytical professionals for the post of Assistant Manager (Demand Forecasting). The specialist will model long-term and short-term electricity load trends, evaluate consumer demographic growth, and project regional energy demand across domestic, commercial, and industrial sectors to support power procurement planning under the CTBCM framework.
Key Responsibilities & Core Deliverables
- Develop econometric and time-series load forecasting models covering peak demand and seasonal consumption variations.
- Analyze consumer category-wise consumption trends (residential, industrial, agricultural, commercial).
- Prepare annual and multi-year load forecast submissions for NEPRA regulatory compliance and CPPA-G energy contracting.
- Model the impact of distributed solar generation, energy conservation, and weather patterns on grid demand.
- Collaborate with Power Planning and Distribution teams to ensure optimal capacity allocation across grid substations.
Minimum Eligibility & Profile Criteria
- Qualification: BE / BSc Electrical Engineering, Energy Engineering, or 16-year degree in Statistics / Econometrics / Data Analytics.
- Experience: At least 2 years in predictive modeling, statistical forecasting, or utility load research.
- Age Limit: Up to 33 years.
Step-by-Step Application Procedure
Eligible professionals should submit applications digitally:
- Log on to the PESCO online job application portal via https://pesco.com.pk.
- Complete the registration and upload academic credentials, experience documentation, and CNIC copy.
- Confirm submission prior to the official deadline of October 31, 2026.
Qualifications
BSc / BE in Electrical Engineering / Energy Engineering or Master / BS (16 years) in Statistics / Econometrics / Data Science from an HEC recognized university,Minimum 2 to 3 years experience in energy load forecasting, econometric modeling, or power demand analysis in the energy sector,Proficiency in statistical analysis tools (Python, R, SPSS, or advanced Excel modeling) for time-series forecasting,Age limit: Maximum 33 years