Description

You will own the development and quality assurance of the Modern Dispatch Optimisation Algorithm for the Electricity system operator Balancing program.

This role is on-site.

Responsibilities

• Collaborate with project and customer teams on the Dispatch algorithm within Balancing Transformation programs.
• Support the development and quality assurance of the Modern Optimisation Algorithm.
• Coordinate with functional teams and business stakeholders to review and test operational scenarios.
• Execute exploratory testing to identify defects, observations, and edge cases.
• Develop requirement tools and automate the testing of the optimization algorithm.

Required Skills

• Strong understanding of mathematical programming solvers for LP, QP, and MIP problems (MILP, MIQP, MIQCP).
• Hands-on experience with Gurobi Optimizer.
• Proficiency in Python for data manipulation, preprocessing, and analysis of large datasets.
• Experience solving optimization problems using various techniques and developing custom data models and algorithms.
• Ability to draw insights from large datasets using statistical computer languages.
• 5+ years of working experience in optimization or related technical domains.
• Bachelor’s or master’s degree in electrical, electronic, or computer engineering or similar technical domain.

Key Skills

Education

Any Graduate