Our client, a global organisation is looking for an Optimisation SME in their Balancing Transformation programme, you will be responsible for delivering a quality algorithm testing to production new tools to help balance the system. You will be working in a team of experts, engaging with the IT and the business in an Agile delivery environment, to deploy solutions in a state-of-the-art cloud-native IT platform
Specific responsibilities include (but not limited to):
- Work with the project team and the customer team on the Dispatch algorithm as part of Balancing Transformation programs
- Test control and optimisation algorithms
- Improve and maintain existing algorithms and control processes
- Collaborate with internal teams for the implementation of new capabilities in our IT platform
- Support in Quality Assurance of Modern Optimisation Algorithm.
- Coordinate with different functional teams and Business
We are looking for someone who:
Has an operations research and background – excellent understanding of optimisation methods and control algorithms, and experience in applying them to real world problems
- Has solid coding skills in Python
- Has an analytical mindset, attention to detail, and is comfortable with collecting and interpreting data to support end-to-end solution design
- Has a keen interest in energy systems
- Experience solving the optimization problem using various techniques
- Develop custom data models and algorithms to apply to data sets
- Strong Understanding of mathematical programming solver available for your LP, QP and MIP (MILP, MIQP, and MIQCP) problems.
- Understanding of data collection, preprocessing and analysis
- Python, Gurobi Optimizer
Has a degree in Engineering, Mathematics, Physics or Operations Research
- Understanding of electricity markets and power system operations (including related economic dispatch/unit-commitment type of problems)
- Experience with delivering IT solutions in cloud-native environments
- MSc or PhD in a related subject
If you are interested and have the relevant experience, please apply promptly and we will contact you to discuss further.
Senior Optimization Engineer employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team