AI & Digital Solutions in Pricing Intern STP27

Do you want to start your career by making a real impact?

At Schneider Electric, we are your Energy Technology Partner, driving a more efficient and sustainable future through electrification, automation, and digitalization.

If you are looking for an internship where you can learn, bring your ideas to life, and take on real challenges, the Schneider Trainee Program is for you.

For 6 months, you will be part of our teams, learn alongside our experts, and contribute to projects that are transforming industries, businesses, and homes.

All of this in an international, flexible, and inclusive environment, with a paid internship, interactive workshops, and opportunities to develop your talent.

Ready to turn your ideas into impact? Join our #SEGreatPeople.

https://youtu.be/VbldHPFltQQ

Departament and Project description:

The mission of this department is to transform Pricing through AI, Data and Digital solutions, enabling better decision-making, simpler processes and measurable business value.

Projects & Key Activities



* Work on real Pricing optimisation AI and workflow automation initiatives.



* Participate in business and process discovery, identifying pain points, requirements and improvement opportunities.



* Define data requirements, coordinate with Data teams, and assess technology options, integrations, constraints, and dependencies.



* Research, compare and design responsible, scalable, and reusable solutions.



* Contribute to prototypes and pilots, defining success metrics, testing solutions, and incorporating user feedback.



* Collaborate across Business, Data, Digital and Technology, experiencing journeys from business need to assessment, solution design, pilot, and scale.

What will you learn?



* Learn and apply a business-first methodology, understanding business challenges, processes and expected outcomes before considering technology.



* Learn to assess and compare AI/ML, Generative AI, AI agents, analytics, automation and conventional technology approaches to identify the most appropriate solution.



* Understand data readiness and how data availability, quality, accessibility and integration need affect solution feasibility.



* Learn how governance, security, Responsible AI and human oversight shape the design and deployment of enterprise solutions.



* Learn to design scalable and reusable solutions, considering global standards, local needs, maintainability and enterprise integration.



* Develop a pragmatic approach to technology focused on simplifying work, supporting decision-making and creating measurable business value.

Are you who we are looking for?



* Student in AI, Data Science, Computer Science, Engineering or a related field, with a good foundation in AI/ML and Generative AI concepts such as LLMs, RAG, AI agents and recommendation systems.



* Hands-on experience with Microsoft technologies, particularly Copilot Studio and Power Automate, with ...