AI & Workforce Transformation Analyst (Intern)

About Accelleron

Accelleron is accelerating sustainability in the marine and energy industries as a global technology leader in turbocharging, fuel injection, and digital solutions for heavy-duty applications. Building on a heritage of over 100 years as a trusted industry partner, the company serves customers in more than 100 locations across over 50 countries. With a dedicated team of 3,000 employees, Accelleron is committed to continuous innovation, delivering best-in-class products, services, and solutions that are essential for the energy transition. Join us in an exciting international environment where excellence and innovation thrive. Together, we support our customers in steering the transition toward sustainable industries through cutting-edge technology, deep expertise, and intelligent solutions. We also celebrate diversity and inclusion, welcoming individual differences as a source of strength.

Internship Opportunity: AI & Workforce Transformation Analyst

Are you passionate about the intersection of Artificial Intelligence (AI), workforce strategy, and organizational development? This unique internship offers you the chance to work closely with our Global Head of Talent Acquisition and collaborate with our Data Science & AI experts. This internship can also serve as a Master’s thesis or a PhD research project.

Your Role

As an AI & Workforce Transformation Analyst, you will develop and implement a robust methodology to analyze the impact of Artificial Intelligence on Accelleron's global workforce. You will evaluate the extent and nature of AI's influence on various job families, including the likelihood and intensity of transformation, changes in required skills, and reskilling needs. Your final output will be a strategic workforce transformation plan, detailing tailored interventions for each job group to upskill, redeploy, or transform talent.

Your Responsibilities

• Conduct desk research on AI-driven job transformation and labor market trends.
• Analyze Accelleron’s global job landscape, including job descriptions, families, and workforce distribution.
• Develop a tailored classification model to assess AI impact across roles, based on existing frameworks (e.g., OECD, WEF, MIT-IBM), evaluating job exposure and AI complementarity.
• Define upskilling and workforce transition strategies, including timeframes.
• Validate findings through interviews with subject matter experts, HR Business Partners, and AI specialists.
• Recommend cluster- or role-specific action plans to future-proof the workforce.
• Align with other Accelleron teams or workstreams (e.g., AI & Data Science, Strategic Workforce Planning) for organizational coherence.
• Ground all work in academic standards and relevant literature, with the potential to evolve the internship into a formal research paper.
• Contribute to additional strategic projects within the Talent Acquisition team.

Your Background

• Master’s studies or early-stage PhD in Data Science, Organizational Psychology, Business, Law, Political Science, or related fields—especially with a focus on labor markets, digital transformation, or technology policy.
• Strong analytical and conceptual thinking skills, with confidence in working with complex datasets and abstract models.
• Deep interest in AI/automation and its implications for work and skills.
• Self-driven, curious, and comfortable navigating ambiguity.
• Skilled in translating complex insights into clear, actionable strategies.
• Fluent in English; German proficiency is a plus.
• Collaborative mindset with the ability to work with diverse global teams.

Duration and Start Date

Minimum duration: 6 months. Start date: flexible, with potential for August/September.

Your Benefits

• Flexible working models.
• Employee Assistance Program.
• Potential academic co-supervision for thesis or publication.

We look forward to receiving your application. Apply online using the form below. Please note that only applications matching the job profile will be considered. To learn more about Accelleron, visit our website at accelleron.com.

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