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At CGI, we’re helping organisations unlock the power of data, artificial intelligence and machine learning to solve complex challenges and deliver meaningful business outcomes. As a Senior Data Scientist, you’ll play a key role in designing and delivering innovative AI solutions, including emerging generative AI technologies, that drive transformation and create lasting value for our clients. You’ll have the freedom to take ownership of technical solutions, explore new approaches and shape how advanced analytics and machine learning are applied in real-world environments. Working alongside talented professionals in a collaborative and supportive environment, you’ll have the opportunity to influence technical direction, develop your expertise and make a tangible impact on the future of AI-driven innovation.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is an office based role.
Candidate profile
Working within a collaborative team of data scientists, engineers and technology specialists, you'll contribute to technical decision-making, promote software engineering best practices and help shape modern AI delivery approaches. You'll have the opportunity to experiment with new technologies, influence solution design and strengthen your expertise through knowledge sharing and ongoing professional development.
Key responsibilities include:
• Design & Deliver: Develop, test and deploy machine learning and AI solutions using modern frameworks and cloud technologies.
• Innovate & Explore: Evaluate emerging AI trends, including generative AI, and identify opportunities to deliver innovative client solutions.
• Develop & Optimise: Build robust machine learning pipelines and support the end-to-end data science lifecycle using MLOps practices.
• Deploy & Scale: Containerise applications using Docker and deploy scalable machine learning services through Kubernetes, particularly AWS EKS.
• Engineer & Enhance: Apply software engineering best practices, including version control, unit testing and maintainable code development.
• Collaborate & Influence: Work closely with multidisciplinary teams to translate business challenges into effective AI and machine learning solutions.
• Improve & Automate: Identify opportunities to enhance model performance, streamline deployment processes and improve operational efficiency.
• Share & Support: Contribute technical expertise, share knowledge and support colleagues in adopting effective AI and machine learning practices.
Required qualifications to be successful in this role
To succeed in this role, you should bring strong practical experience in data science, machine learning and modern software engineering, with the ability to develop and deploy AI solutions in cloud environments. You'll be comfortable working across the full machine learning lifecycle, applying established engineering practices and exploring emerging technologies. Strong problem-solving skills, a collaborative mindset and the confidence to take ownership of technical challenges will be essential.
Essential skills and experience:
• Data Science & Machine Learning: Strong experience developing, testing and deploying machine learning models and AI solutions.
• AI & Generative AI: Knowledge of current AI/ML trends, emerging technologies and generative AI applications.
• MLOps & ML Lifecycle: Familiarity with MLOps tooling, model lifecycle management and production deployment practices.
• AWS Cloud: Practical experience developing and deploying solutions within Amazon Web Services.
• Python & ML Frameworks: Proficiency in Python and experience with machine learning libraries such as PyTorch, TensorFlow and NumPy.
• Containerisation & Kubernetes: Experience with Docker, Kubernetes and deploying applications using AWS Elastic Kubernetes Service (EKS).
• Software Engineering: Strong understanding of version control, unit testing, code quality and maintainable software development.
• Microservices Architecture: Familiarity with microservices-based architectures and scalable application design.
• Problem-Solving & Collaboration: Proven ability to solve complex technical challenges and work effectively with multidisciplinary teams.
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Working environment
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. 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.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
Come join our team—one of the largest IT and business consulting services firms in the world.
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Data Scientist (AI & Machine Learning)
CGI

