At a Glance
- Tasks: Drive innovative solutions for electricity networks using data science and AI technologies.
- Company: Join CGI, a leading IT and business consulting firm with a collaborative culture.
- Benefits: Full-time role with opportunities for skill development and career growth.
- Other info: Be part of a supportive team that values ownership, teamwork, and innovation.
- Why this job: Make a real impact in the energy sector while working on cutting-edge technology.
- Qualifications: Experience in data science or AI, especially in the energy sector, is essential.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Scientist role at CGI. This position drives the development and delivery of cutting‑edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real‑world applications.
This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co‑develop impactful solutions. The engineer contributes technical expertise to data‑driven initiatives, shaping models, algorithms, and analytical approaches that support decision‑making and innovation outcomes. They play a hands‑on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment.
Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities.
Qualifications & Experience- Experience within the energy sector, ideally focused on electricity networks or smart grids.
- Experience applying AI/ML technologies in engineering or operational settings.
- Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks.
- Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences.
- Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co‑develop solutions that enhance network performance and resilience.
- Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real‑world applications.
- Contribute technical expertise to data‑driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes.
- Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions.
- Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.
- Strong experience in data science or AI applied within the energy sector.
- Ability to collaborate across disciplines and communicate complex ideas clearly.
- Comfortable applying advanced analytics in operational environments.
- Motivated to turn insight into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well‑being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team — one of the largest IT and business consulting services firms in the world.
Data Scientist in Wideopen employer: CGI
CGI is an exceptional employer that fosters a culture of ownership, teamwork, and respect, inviting you to be a partner from day one. With a strong focus on innovation in the energy sector, you'll have the opportunity to collaborate with leading Distribution Network Operators and academic institutions, while benefiting from extensive professional development and support for your well-being. Join us to shape impactful solutions and advance your career in a dynamic environment that values your contributions and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Wideopen
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector, especially those working with DNOs. Attend industry events or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to AI/ML in energy. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice your communication skills! Since you'll be collaborating with diverse teams, being able to explain complex concepts simply is key. Try explaining your projects to friends or family who aren't in the field.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at CGI. Tailor your application to highlight how your skills align with the role and the company's mission.
We think you need these skills to ace Data Scientist in Wideopen
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience in the energy sector, especially with electricity networks and AI/ML technologies. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in the energy sector and how you can contribute to our team. Let’s see your personality come through!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include details about your contributions, the technologies you used, and the impact of your work. We love seeing practical applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our company!
How to prepare for a job interview at CGI
✨Know Your Energy Systems
Make sure you brush up on your knowledge of energy systems, especially electricity networks and smart grids. Be ready to discuss how your experience aligns with the operational challenges faced in the energy sector.
✨Showcase Your AI/ML Skills
Prepare to talk about your experience with AI and machine learning technologies. Have specific examples ready that demonstrate how you've applied these skills in real-world scenarios, particularly in engineering or operational settings.
✨Communicate Clearly
Since strong communication is key for this role, practice explaining complex technical concepts in simple terms. Think about how you would describe your projects to someone without a technical background, as you'll need to collaborate with diverse teams.
✨Collaborate and Innovate
Be prepared to discuss how you've worked in multidisciplinary teams before. Highlight any experiences where you co-developed solutions or partnered with others to drive innovation, as this will show your ability to contribute effectively in a collaborative environment.
