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Benefits offered by this job
Bonus scheme for high performers
Career development opportunities
Job summary
A fast-growing electricity trading company in Manchester seeks a Forecasting Model Developer / Statistician to enhance forecasting accuracy and tackle real-time energy problems. You'll draw on at least two years of experience in applied time-series forecasting, preferably in an ambitious environment. The role offers competitive salary ranging from £40,000 to £55,000, alongside significant opportunities for professional growth and impacting the future of energy trading.
Qualifications
At least 2 years of experience in applied time-series forecasting.
Proven ability to solve complex mathematical problems.
Strong working fluency in Python and SQL.
Responsibilities
Develop real-time forecasts of electricity prices and drivers.
Solve real-world energy problems through collaboration.
Document and visualize results, sharing insights.
Skills
Applied time-series forecasting
Python
SQL
Problem-solving
Mathematical modeling
Education
PhD or equivalent experience in relevant field
Tools
PostgreSQL
DuckDB
Node JS
Rust
Job description
A fast-growing electricity trading company in Manchester seeks a Forecasting Model Developer / Statistician to enhance forecasting accuracy and tackle real-time energy problems. You'll draw on at least two years of experience in applied time-series forecasting, preferably in an ambitious environment. The role offers competitive salary ranging from £40,000 to £55,000, alongside significant opportunities for professional growth and impacting the future of energy trading.