Data Scientist

Position Description:

Data Scientist (Energy) 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

Key Duties & Responsibilities

. 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.

Your future duties and responsibilities:

In this role you will work at the intersection of data science engineering and applied research to design and deliver innovative solutions for electricity networks. Youll collaborate closely with Distribution Network Operators research institutions and internal teams to understand operational challenges and turn emerging technologies into practical deployable solutions that drive resilience and performance.

Youll contribute across the full innovation lifecycle from early concept development and feasibility assessment through to prototyping testing and deployment. Supported by a collaborative environment youll be encouraged to take ownership of your ideas apply creative problem-solving and help shape data-driven approaches that influence real-world decision-making.

Key responsibilities include:

Collaborate & Discover Work with DNOs to understand operational challenges and identify innovation opportunities

Design & Deliver Develop data-driven models algorithms and analytical approaches that support network optimisation

Innovate & Translate Partner with universities and research bodies to turn emerging technologies into applied solutions

Communicate & Influence Engage with engineering product consulting and business teams to refine technical outcomes

Prototype & Deploy Support innovation projects from ideation through testing and real-world implementation

Required qualifications to be successful in this role:

To succeed you will bring strong experience in data science or AI applied within the energy sector combined with the ability to collaborate across disciplines and communicate complex ideas clearly. Youll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action.

You should have:

Experience working within the energy sector ideally electricity networks or smart grids

Experience applying AI/ML techniques in engineering or operational contexts

Strong Python programming skills and experience with data analysis or machine learning frameworks

Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders

#LI-SF2

Skills:

• Data Engineering
• Data Modeling
• Python

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.