Battery Optimisation Engineer — Grid Efficiency & ML

Ingrid Capacity; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

Ingrid Capacity seeks an Optimisation Engineer to lead battery storage optimisation and grid integration efforts. You will enhance algorithms and apply advanced mathematics to real energy challenges, driving improved efficiency and value.

You will collaborate across teams to incorporate forecasts and diverse data into models, translating insights into actionable optimisation solutions that strengthen revenue and grid resilience.

Qualifications

• Experience in optimisation, data science, operations research or applied mathematics.
• Strong foundation in optimisation modelling and linear programming.
• Proficiency in Python for optimisation tasks.
• Educational background in mathematics, engineering physics, data science or related field.
• Experience in energy systems or battery storage is a plus.

Responsibilities

• Lead optimisation of battery storage to support grid integration.
• Improve battery optimisation algorithms for peak efficiency.
• Integrate forecasts and other data into models.
• Collaborate with stakeholders to align business goals with optimisation solutions.
• Contribute to evolving data science and optimisation approaches.

Skills

Optimization algorithms

Data science

Operations research

Applied mathematics

Machine learning

Education

Mathematics or related field

Engineering physics

Data science

Energy systems

Computer science

Tools

Python

Job description

Ingrid Capacity seeks an Optimisation Engineer to lead battery storage optimisation and grid integration efforts. You will enhance algorithms and apply advanced mathematics to real energy challenges, driving improved efficiency and value.

You will collaborate across teams to incorporate forecasts and diverse data into models, translating insights into actionable optimisation solutions that strengthen revenue and grid resilience.