Data Scientist in Power Electrical Systems

3 days ago Be among the first 25 applicants

Help us use technology to make a big green dent in the universe!

Kraken powers some of the most innovative global developments in energy.

We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.

It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.

At Kraken Grid, we’re passionate about building products that solve problems. Our grid monitoring and analytics platform supports grid operators and utilities.

Our technology platform offers data collection, analytics, and real-time monitoring services, including fault management, power quality, and power flow modelling, to Distribution System Operators (DSOs or DNOs) looking to digitally transform their operations. Our services enable full grid visibility, allowing operators to better and more efficiently predict, manage, and operate their infrastructure amidst the rapid integration of Decentralised Energy Resources.

The energy industry is undergoing the largest transformation since industrialization at an unprecedented rate of change, and we are positioning ourselves to be at the heart of that change.

As part of Kraken Grid, your main mission will be to help define new and improve our existing grid analytics solutions. We are looking for individuals who love to engage with interesting client’s problems and the passion to build and shape the future within a collaborative, highly agile development, and community-based environment.

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• Design, implement, and test innovative computer science solutions applicable to power systems from the transmission network to electrical distribution grids
  
• Develop and test power system algorithms for custom projects
  
• Write technical requirements and specification documents for product development
  
• Implementation of the core algorithm in Kraken Grid solutions
  

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• PhD or master's in electrical power systems engineering, with at least 3-5 years of work experience
  
• Hands‑on and analytical approach to work
  
• Curious, eager to learn. Initiative spirit, self‑organised and attentive to detail
  
• High analytical mind to solve complex issues. Synthetic thinking to design clean solutions
  
• Hands‑on and demonstrated ability to work as part of a team
  
• Excellent written and oral communication skills in English (French is a plus)
  
• Excellent knowledge and analytical analysis of electrical power distribution grids
  
• Experience in performance evaluation of algorithms applied to power systems
  
• Expert in programming in Python – other languages can be a plus
  
• Experience in FastAPI micro‑services development is a plus
  
• Knowledge using Git and Linux are desirable
  

If this sounds like you then we'd love to hear from you.

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Not Applicable

Full-time

Engineering and Information Technology

Utilities and Environmental Services