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- Tasks: Design and implement innovative solutions for electrical grids using data science.
- Company: Progressive energy tech company based in Manchester.
- Benefits: Collaborative work environment with opportunities for professional growth.
- Why this job: Make a real impact on the future of energy with cutting-edge technology.
- Qualifications: PhD or master's in electrical power systems engineering and programming skills in Python.
- Other info: Ideal for problem solvers looking to innovate in energy analytics.
The predicted salary is between 36000 - 60000 £ per year.
A progressive energy tech company in Manchester is looking for a Data Scientist in Power Electrical Systems to design and implement innovative solutions for electrical grids. The ideal candidate will have a PhD or master's in electrical power systems engineering and 3-5 years of experience.
Responsibilities include:
- Developing power system algorithms
- Creating technical specifications
This full-time position offers a collaborative and agile work environment, where problem-solving skills and programming expertise in Python are essential.
Data Scientist – Power Grids & Energy Analytics in Manchester employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Power Grids & Energy Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy tech field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to power systems and algorithms. This is your chance to demonstrate your programming expertise in Python and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions specific to electrical power systems. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist – Power Grids & Energy Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in electrical power systems engineering and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your programming expertise in Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy tech and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in past roles. We’re looking for innovative thinkers who can develop algorithms and technical specifications, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Kraken
✨Know Your Power Systems
Make sure you brush up on your knowledge of electrical power systems. Be ready to discuss specific algorithms you've developed or worked with in the past, and how they can be applied to innovative solutions for electrical grids.
✨Showcase Your Programming Skills
Since programming expertise in Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and power systems beforehand.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples from your previous experience where you tackled complex issues in power systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Collaboration
This role is in a collaborative and agile environment, so highlight your teamwork experiences. Share examples of how you've successfully worked with others to achieve project goals, especially in a technical setting.
