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- Tasks: Drive innovative solutions for smart grids using AI/ML and enhance network performance.
- Company: Leading technology consultancy in the energy sector with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on energy systems while working with cutting-edge technologies.
- Qualifications: Expertise in energy systems, AI/ML, and strong Python programming skills.
- Other info: Collaborate with diverse teams and academic partners on exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
A technology consultancy in the energy sector is seeking a Data Scientist (Energy) to drive innovative solutions enhancing network performance and resilience. The role requires expertise in energy systems, AI/ML technologies, and strong programming skills in Python. The candidate will collaborate with Distribution Network Operators and academic partners throughout the lifecycle of innovation projects, from ideation to deployment. Strong communication skills are essential for interfacing with diverse teams and stakeholders.
Energy Data Scientist — AI/ML for Smart Grids in Leeds employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Data Scientist — AI/ML for Smart Grids in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector, especially those working with AI/ML. Attend industry events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to energy systems and AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice your communication skills! Since you'll be collaborating with diverse teams, being able to explain complex concepts in simple terms is key. Try explaining your projects to friends or family to refine your pitch.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with Python and your understanding of smart grids to stand out.
We think you need these skills to ace Energy Data Scientist — AI/ML for Smart Grids in Leeds
Some tips for your application 🫡
Show Your Passion for Energy: When writing your application, let us see your enthusiasm for the energy sector. Share any relevant projects or experiences that highlight your interest in enhancing network performance and resilience.
Highlight Your AI/ML Skills: Make sure to showcase your expertise in AI/ML technologies. We want to know how you've applied these skills in real-world scenarios, especially in relation to energy systems.
Demonstrate Strong Programming Skills: Since Python is key for this role, include specific examples of your programming experience. Whether it's a project or a problem you solved, we love to see your coding prowess in action!
Communicate Clearly: Strong communication skills are essential for this position. Ensure your application is well-structured and easy to read. We appreciate clarity, so don’t hesitate to show us how you can interface with diverse teams and stakeholders.
How to prepare for a job interview at CGI
✨Know Your Energy Systems
Make sure you brush up on your knowledge of energy systems and how they work. Be prepared to discuss specific technologies and methodologies you've used in the past, especially those related to smart grids. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your AI/ML Skills
Since the role focuses on AI/ML technologies, be ready to talk about your experience with these tools. Bring examples of projects where you've implemented machine learning algorithms or data analysis techniques. If you can, demonstrate your coding skills in Python during the interview—this could really set you apart!
✨Communicate Clearly
Strong communication skills are a must for this role. Practice explaining complex concepts in simple terms, as you'll need to interface with various stakeholders. Think about how you can convey your ideas clearly and concisely, especially when discussing technical details with non-technical team members.
✨Collaborative Mindset
This position involves working closely with Distribution Network Operators and academic partners. Be prepared to discuss your experience in collaborative projects and how you approach teamwork. Highlight any instances where you’ve successfully navigated challenges in a group setting, as this will demonstrate your ability to work well with diverse teams.
