Associate Consultant – Enterprise Data & AI Transformation
Singapore
Listed on 2026-02-12
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IT/Tech
AI Engineer, Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Next Generation Talent Program
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
We are seeking fresh graduates to join our Enterprise Data and Analytics Team to support clients in large‑scale enterprise data and AI transformations across Southeast Asia. In this role, you will collaborate with senior stakeholders, contribute to end‑to‑end transformation initiatives across data, AI, and business innovation. This role is ideal for early‑career professionals who are passionate about solving complex business problems through a blend of strategic thinking, business innovation, and emerging technology.
What you will do:- Support the design of end‑to‑end AI/GenAI/Agentic AI solutions, including Classical AI/ML , Computer Vision, RAG pipelines, agent frameworks, vector databases, and orchestration layers
- Build and present demos and proof‑of‑concepts using a variety of AI/GenAI tools, frameworks, and models (open‑source or commercial)
- Work closely with clients to translate business challenges into data‑driven solutions and actionable strategies and recommendations.
- Facilitate architecture workshops with business and technical stakeholders to define future‑state solutions
- Conduct stakeholder interviews, workshops, and data analysis to inform strategic recommendations
- Prepare client deliverables including presentations, reports, and models with clear insights and actionable recommendations
- Collaborate with cross‑functional teams including business, technology, and delivery stakeholders
- Stay current on industry trends, emerging technologies, and best practices in data and AI transformation
- Internship experience in building or designing AI / GenAI / RAG / Agentic AI systems (preferred)
- Exposure to data and AI software engineering, data & AI applied research, GenAI, RAG, Machine Learning.
- Good foundational understanding of AI/ML and willingness to learn advanced frameworks is expected; prior experience is a plus but not mandatory
- Strong analytical and problem‑solving skills, with the ability to structure complex issues
- Excellent communication and presentation skills, with a strong interest in consulting and client engagement
- Comfortable working in fast‑paced, ambiguous environments and managing multiple priorities
- Bachelor’s degree in Computer Science, Data & AI Engineering, Artificial Intelligence, or related fields; advanced degrees or relevant certifications are a plus
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities
- Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry.
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