Period: ~6 months (minimum of 4 months)
Hours per week: 40
Location: Accenture main office in Amsterdam
Start date: the first day of each month
Are you looking for an internship where you can:
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Combine consulting, engineering, and applied AI
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Work in a fast-moving environment
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Support leading industrial companies on real transformation projects
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Work on a research assignment that covers strategy, process improvement, and AI technology implementation
Then an AI-focused role within Supply Chain & Engineering (SC&E) could be a great fit for you! If you are interested, please apply with your CV and cover letter, including your motivation.
In general, SC&E is a diverse and dynamic team of innovators, visionaries, and problem solvers in the fields of Engineering and Manufacturing.
You will join the AI Engineering team, which focuses on the next-generation R&D and imagining and reinventing the future of Products and the end-to-end Product journey from the initial design, to managing Product Lifecycle Systems, their Sustainable Footprint and the ultimate retiring and replacement. Within PES we specialize in companies that focus on product development, so we are mainly active in Research & Development departments. Here we enable industry leading clients to optimize their business processes and efficiency through AI.
As an intern at SC&E, you will work in collaboration with our colleagues to conduct your thesis research and assignment in one of the relevant research areas listed below. Key is that your thesis will research challenges or opportunities we see at our clients and that new AI-driven business solutions or opportunities can be defined based on the input of our experts. Depending on the assignment, you may prototype and deploy working AI solutions from data pipelines and model experiments to proof-of-concept applications. During your internship you'll connect with many SC&E colleagues from Accenture and gain valuable insight into the world of strategy & consulting. Your work location is at the main office in Amsterdam, where you will be required to be present at least 3 days a week.
Research groups:
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Defining R&D and AI strategies: Helping clients shape their long-term vision and roadmap for R&D and AI-driven digital transformation.
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Improving engineering and business processes: Analyzing current ways of working and redesigning product development processes through workshops, interviews, and practical improvements — including where generative AI and automation can accelerate them.
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Implementing AI solutions: Supporting the rollout of technologies such as Product Lifecycle Management (PLM) platforms and AI-enabled solutions like RAG systems, LLM orchestration, and computer vision.
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Driving sustainability initiatives: Setting up frameworks, processes, and data-driven insights that help companies reach their sustainability goals.
