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  "job_title": "Data Scientist",
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  "employer_name": "CGI",
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  "job_description": "Position Description\n\nData 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.\n\nThis 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.\n\nStrong 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.\n\nQualifications & Experience:\n• Experience within the energy sector, ideally focused on electricity networks or smart grids\n• Experience applying AI/ML technologies in engineering or operational settings\n• Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks\n• Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences\n\nKey Duties & Responsibilities\n• Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience.\n• Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications.\n• Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes.\n• Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions.\n• Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.\n\nYour future duties and responsibilities\n\nIn this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You’ll 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.\n\nYou’ll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you’ll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making.\n\nKey responsibilities include:\n\nCollaborate & Discover – Work with DNOs to understand operational challenges and identify innovation opportunities\n\nDesign & Deliver – Develop data-driven models, algorithms, and analytical approaches that support network optimisation\n\nInnovate & Translate – Partner with universities and research bodies to turn emerging technologies into applied solutions\n\nCommunicate & Influence – Engage with engineering, product, consulting, and business teams to refine technical outcomes\n\nPrototype & Deploy – Support innovation projects from ideation through testing and real-world implementation\n\nRequired Qualifications To Be Successful In This Role\n\nTo 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. You’ll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action.\n\nYou should have:\n\nExperience working within the energy sector, ideally electricity networks or smart grids\n\nExperience applying AI/ML techniques in engineering or operational contexts\n\nStrong Python programming skills and experience with data analysis or machine learning frameworks\n\nProven ability to collaborate within multidisciplinary teams and engage diverse stakeholders\n\nTogether, as owners, let’s turn meaningful insights into action.\n\nLife at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…\n\nYou 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.\n\nYour 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.\n\nYou’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.\n\nCome join our team—one of the largest IT and business consulting services firms in the world.",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773273600,
  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
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