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Assistant Manager (Demand Forecasting)

Peshawar Electric Supply Company (PESCO) 📍 Peshawar, Pakistan Full-time 🏭 Energy Analytics & Power Demand Modeling ⏰ Official Corporate Utility Working Hours 📅 Posted: Oct 15, 2026 ⏰ Deadline: Oct 31, 2026

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

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