Responsibilities
- Collect hourly generation and demand data and check time coverage and units.
- Merge tables, remove duplicates and maintain a data correction log.
- Calculate energy balances and utilisation in Excel or Python using agreed methods.
- Prepare scenario comparisons for generation, data centre demand and heat pump consumption.
- Produce charts and calculation notes and preserve model revisions and assumption sources.
Requirements
- Completed or near-completed degree in energy, mathematics, economics or data analysis.
- One year of analytical practice, including internships or research using real datasets.
- Excel pivot tables, lookups and conditional aggregation; basic statistics and charts.
- Understanding of power versus energy and kW versus kWh; ability to explain calculations.
Nice to have
- Python/pandas, SQL and energy time-series experience.
Conditions
- Compensation, scope of engagement and payment arrangements are agreed in the contract before work begins.
- Schedule, work location and any travel requirements are agreed individually.
- Contribute to the Amu Darya complex: energy, data centres and useful heat recovery.
- Supervised assignments, feedback and gradually increasing responsibility.
- Assignments and expected deliverables reflect the current project development stage.
Key skills
- Excel
- Data analysis
- Energy balances
- Data visualisation
- Data validation
How to apply
Attach your CV and describe your studies, placements or academic projects. Include your availability and area of interest.