Optimisation Engineer

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

About us

Ingrid was born out of a simple belief: the energy transition must move faster and work smarter. We're pioneers at the forefront of the global energy transition — pushing boundaries, turning bold ideas into reality, and solving the problems that matter most.

The INtelligent GRID of tomorrow needs to absorb and release more power. We develop, build and operate high-performance batteries — the lungs of modern energy infrastructure — enabling a more flexible and resilient energy supply across Europe. With 500 MW already deployed across the Nordics and rapid expansion into continental Europe, we manage, optimise and trade both our own assets and those of third parties through our sophisticated tech platform, making every battery — and the entire grid — stronger.

About the team

At Ingrid, our tech team builds and maintains an in-house optimisation engine to maximise battery efficiency within the grid. We also focus on creating a data‑driven culture by building data pipelines and a Business Intelligence layer to provide stakeholders with actionable insights. Our team plays a key role in driving strategic decision‑making and overall company success, and we work closely together to ensure a smooth transition of ideas from concept to reality. At Ingrid, we foster a collaborative and inclusive environment where everyone’s voice is valued. We believe in empowering our team members to make a real impact.

About the role

As our Optimisation Engineer at Ingrid, you'll lead efforts in optimising battery storage to support the grid and transition to renewable energy. You'll be key in improving our battery optimisation algorithms, ensuring they operate at peak efficiency. This role requires strong mathematical skills and a mix of optimisation techniques. The impact of your work on our revenue is substantial, with an annual output that continues to grow. You'll collaborate across teams to incorporate diverse data into our models and translate insights into actions.

What you'll do

• Contribute to the evolution of our battery system optimisation algorithms. Craft and refine them to maximise efficiency and economic performance, leveraging multi‑stage optimisation strategies.
• Apply your mathematical expertise to real‑world energy challenges. Apply deep mathematical knowledge and cutting‑edge problem formulation techniques to tackle intricate energy storage challenges using stochastic optimisation, linear programming, and reinforcement learning.
• Bridge the data gap. Collaborate closely with your team to seamlessly integrate forecasts and other crucial data into our optimisation models.
• Champion innovation. Cultivate a culture of continuous improvement by actively contributing to the advancement of our data science and optimisation approaches.
• Collaborate to optimise. Work closely with stakeholders to align business goals with tailored optimisation solutions.

Who we think you are

Ideally, you have experience from the energy sector, particularly battery storage or renewable energy systems, and experience in battery optimisation or hydro optimisation is, of course, very meritorious. You have a track record of innovation and a problem‑solving mindset, in complex, data‑driven projects.

Here's what will set you up for success:

• Experienced Optimiser: You have proven experience in optimisation, data science, operations research, applied mathematics, or other related field, with a strong foundation in optimisation algorithms and/or machine learning.
• Math Mastermind: Solid foundation in mathematical concepts essential for optimisation modelling, including linear programming and scenario analysis.
• Technical Expertise: You're comfortable applying various optimisation methods, including linear programming. Proficiency in Python or another suitable programming language for optimisation tasks is required.

For this role, we think you have an educational background in mathematics, engineering physics, data science, energy systems, computer science or similar.