Ai/Gen Ai Specialist

Let’s talk about the team:

Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies, and they choose to partner with Capgemini for a very good reason - our exceptional people. Due to continued growth within Capgemini's Insights & Data practice we intend to recruit an AI/GenAI Specialist with relevant consulting and communication skills. If you are already working in a consultancy role, or have excellent client-facing skills gained within large organizations, we would like to discuss our consultant opportunities with you.

This role can be based out of Sydney, Melbourne, Perth or Adelaide.

About the role:

We are looking for a specialist who is capable of analyzing large amounts of raw information to find patterns and build data products to extract valuable business insights. Your responsibilities include:

• Identify valuable data sources and automate collection processes.
• Undertake pre-processing of structured and unstructured data
• Analyze large volumes of information to discover trends and patterns
• Build appropriate AI based models (ML/AI/Generative AI) to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

About you:

You will have the ability to help clients execute end-to-end data science projects using proven methodologies like CRISP-DM and enable them to analyze trends, find patterns, predict next best action, use artificial intelligence for automating processes, making accurate predictions and better business decisions.

Desired skills and experience:

• B.Sc. or postgraduate degree in Data Science, Computer Science, Mathematics, Engineering or relevant field;
• Proven experience as a Data Scientist/AI practitioner
• Knowledge and/or experience in the application of Generative AI techniques to solve business problems
• Competency in either Python or R
• Experience in data mining, statistical methods, machine-learning
• Sound knowledge of data science algorithms and principles
• Experience in applying computer vision, NLP or speech processing techniques
• Experience performing data science in the cloud would be desired but not essential
• Analytical mind, business acumen and problem-solving aptitude
• Excellent communication and presentation skills

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