Solar Performance Engineer Intern - Smart O&M & PV Systems

PV Doctor Pte. Ltd.pv.doctor; Singapore; Hybrid; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Hybrid working arrangements

Job summary

PV Doctor Pte. Ltd. is seeking a student-focused Performance Analytics Intern to monitor and improve PV system performance. You will analyze real-time data, identify underperformance, and propose data-driven optimizations from a growing solar portfolio.

Ideal candidates are pursuing engineering or science degrees, with strong analytical skills and exposure to Excel or Python. This role offers hybrid work in Singapore and a chance to contribute to Smart O&M enhancements.

Qualifications

• Pursuing a diploma or degree in engineering or science (electrical, renewable energy, mechanical) or related fields.
• Strong analytical skills and ability to work with performance data.
• Passion for solar energy and optimization.
• Proficiency in Excel, Python, or other data analysis tools is a plus.
• Self-motivated and able to work remotely with minimal supervision.

Responsibilities

• Assist in monitoring, analyzing, and improving PV system performance.
• Work with real-time data from our growing portfolio, identifying underperformance and recommending solutions.
• Support predictive maintenance strategies using advanced analytics.
• Collaborate with the team to enhance Smart O&M processes.
• Contribute to performance reports and customer insights.
• Potentially assist in other areas, such as audits, repowering, and rectifications.

Skills

Analytical skills

Data analysis

Excel

Python

Education

Diploma or degree in engineering or science (electrical, renewable energy, mechanical) or related fields

Tools

Python

Excel

Job description

PV Doctor Pte. Ltd. is seeking a student-focused Performance Analytics Intern to monitor and improve PV system performance. You will analyze real-time data, identify underperformance, and propose data-driven optimizations from a growing solar portfolio.

Ideal candidates are pursuing engineering or science degrees, with strong analytical skills and exposure to Excel or Python. This role offers hybrid work in Singapore and a chance to contribute to Smart O&M enhancements.