Pricing AI & Digital Solutions Intern

Schneider Electric; Barcelona; Hybrid; EUR 7,800 - 10,000; Full time

Benefits offered by this job

Paid internship

Flexible schedule

Remote work up to 2 days/week

6-month program

Career development opportunities

Job summary

The Schneider Trainee Program in Barcelona offers a 6‑month internship in Pricing via AI, Data and Digital solutions. You’ll work on real AI/ML pricing optimisation projects, participate in discovery, and define data needs while collaborating with Business, Data and Technology teams.

You will learn business-first methodologies, evaluate AI options, and design scalable solutions with hands-on experience; schedules are flexible (20–30 hours/week) with some remote days.

Qualifications

• Student in AI, Data Science, Computer Science, Engineering or related field with a good foundation in AI/ML and Generative AI concepts.

Responsibilities

• Work on real Pricing optimisation AI and workflow automation initiatives.
• Participate in business and process discovery, identifying pain points and requirements.
• Define data requirements, coordinate with Data teams, assess technology options and dependencies.
• Research, compare and design scalable, reusable solutions.
• Contribute to prototypes and pilots, define success metrics and test solutions.
• Collaborate across Business, Data, Digital and Technology teams across end-to-end processes.

Skills

AI/ML concepts

Generative AI

Power Platform

Copilot Studio

APIs & integrations

Microsoft 365

English communication

Cross-functional collaboration

Education

Student in AI/Data Science/CS/Engineering

Tools

SharePoint

Power Automate

Job description

The Schneider Trainee Program in Barcelona offers a 6‑month internship in Pricing via AI, Data and Digital solutions. You’ll work on real AI/ML pricing optimisation projects, participate in discovery, and define data needs while collaborating with Business, Data and Technology teams.

You will learn business-first methodologies, evaluate AI options, and design scalable solutions with hands-on experience; schedules are flexible (20–30 hours/week) with some remote days.