Data Analytics and AI Architect

Job description / Role

As a Data Analytics and AI Architect, your role revolves around designing and implementing data analytics and artificial intelligence solutions to derive actionable insights and drive informed decision-making within the organization.

• Responsibilities include defining the overall data analytics and AI strategy, architecting scalable and efficient data pipelines, and selecting appropriate analytics and AI technologies.
• You collaborate with business stakeholders to understand their requirements, identify opportunities for leveraging data and AI, and design solutions that address business challenges and opportunities.
• Additionally, you oversee the development and deployment of machine learning models, ensure data governance and compliance, and drive innovation in data analytics and AI initiatives.

• Data analytics
• Artificial intelligence
• Machine learning
• Data engineering
• Data modeling
• Statistical analysis
• Programming languages (e.g., Python, R)
• Big data technologies (e.g., Hadoop, Spark)
• Cloud computing platforms (e.g., AWS, Azure, Google Cloud)
• Problem-solving abilities

About the Company

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.