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Abb

Internship - AI & Data Analytics in Sales f/m/d (80-100%)

Baden, Aargau, Switzerland

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hirly's read of this role

Seniority
Internship
Country
CH
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Marketing & Sales Manager

__

Your role and responsibilities

In this role, you will have the opportunity to gain hands-on experience in a sales environment by supporting initiatives focused on data understanding, structuring, analysis, and automation. You will work closely with the sales team to understand how commercial and technical information is generated, stored, and used across different systems, and help identify opportunities to improve efficiency through digitalization and automation.

The work model for the role is: #-LI-Hybrid

You will be mainly accountable for:

Analyzing data sources used by the sales organization, including offer documentation, SharePoint repositories, internal sales tools, and CRM systems such as Salesforce.

Understanding how commercial, pricing, business, and technical information is created, managed, and used across the sales process.

Identifying opportunities to structure data more effectively and support the development of automated workflows, dashboards, or analytical modules to improve team efficiency.

Collaborating with sales and other relevant stakeholders to document current practices, propose improvements, and support implementation of data-driven solutions.

Qualifications for the role

You are currently pursuing, or have recently completed, a Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Information Systems, or a related field.

You have strong interest in data analysis, artificial intelligence, automation, and the optimization of business processes through digital solutions.

You have practical knowledge of programming and data handling tools, preferably Python; familiarity with C#, databases, or API-based integrations is a plus.

You are comfortable working with large and unstructured datasets from different business systems and translating them into structured insights and improvement ideas.

You have an analytical mindset and enjoy understanding how information flows through business processes, from generation to reporting and decision-making.

You communicate clearly in English; additional language skills such as German are a plus.

You hold a valid work permit for Switzerland or are eligible to work in Switzerland.

More about us

Process Industries division delivers complete electrification and automation solutions, industry- specific products and lifecycle services across industries. Understanding and addressing challenges and opportunities take a deep domain knowledge. Engineering and delivering automation solutions from device to monitoring and control make our customers get more out of their investment. Digitalization solutions including collaborative operations and augmented reality help improve plant and enterprise productivity, reduce maintenance and energy costs. Our engineering, project management, services and solutions portfolio covers a wide range of industries - Pulp, Paper & Fiber, Mining, Gearless Mill Drives (GMDs), Hoists, Metals, Growth Industries such as Cement, Food & Beverage, Data Center Automation, High Power Rectifiers, and Batteries.

This recruitment process is managed by Talent Acquisition Partner Emma Aslani.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

Original posting on Abb's site ↗

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