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AI Specialist Sustainability

Körber Campus Pécs • Hungary • Added on Jul 8, 2026
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This role bridges the gap between advanced data science and corporate responsibility by developing AI-driven solutions for sustainability. You will be responsible for automating ESG reporting workflows and identifying critical data sources to improve performance tracking. Your work directly transforms complex raw data into actionable insights that guide the group’s environmental and social strategy.

At a time when global manufacturing faces intense regulatory pressure, this position is crucial for Körber’s alignment with the Corporate Sustainability Reporting Directive (CSRD). By integrating artificial intelligence into the ESG framework, you enable the company to move beyond manual compliance toward a sophisticated, tech-enabled model of impact measurement. This is a rare opportunity to apply machine learning to high-stakes industrial decarbonization and governance.

This suits someone who possesses a strong foundation in data science and a genuine passion for environmental impact. You should be comfortable navigating both technical IT environments and the nuances of climate-related reporting standards.

Job FAQs

What are the main missions and responsibilities of this role?

The primary mission is to architect and implement AI-driven systems that streamline the collection and analysis of sustainability data. You will be the technical lead in automating workflows for ESG reporting, ensuring that the company meets the rigorous requirements of the CSRD and EU Taxonomy regulations. Beyond technical development, you are responsible for creating advanced dashboards and visualizations that allow leadership to monitor environmental and social performance in real-time. This involves identifying new data sources and ensuring data integrity across multiple business units to improve global ESG ratings like EcoVadis and CDP.

Key learning opportunities for this job

You will gain deep expertise in the operationalization of the CSRD, one of the most significant regulatory shifts in the European corporate landscape. Applying AI specifically to sustainability metrics provides a unique niche skill set that combines data engineering with environmental science. Furthermore, the role offers exposure to global industrial ecosystems. Working within a large technology group allows you to learn how sustainability is integrated across diverse sectors, from pharmaceutical machinery to complex supply chain logistics, providing a broad view of industrial transformation.

How does the ideal candidate look like (experience, skills)?

The ideal candidate brings roughly 2-3 years of experience in data science or machine learning, specifically applied to reporting or industrial contexts. You should be highly proficient in data analysis tools like Power BI and have a strong programming background suited for AI implementation. While technical skills are paramount, a solid understanding of ESG frameworks and standards is highly valued. The role requires an analytical mind capable of working independently to solve complex data gaps while maintaining a solution-oriented approach to corporate sustainability challenges.

Advice to stand out and make a successful application

To stand out, highlight specific examples where you have automated a manual data process or used predictive modeling to solve a business problem. Demonstrating a clear bridge between your technical AI skills and their practical application in a 'Social' or 'Environmental' context is key. Since this role involves close collaboration with the Hamburg headquarters, emphasizing your communication skills and ability to work in distributed teams will be beneficial. If you have any experience with EU Taxonomy or specific ESG software, ensure these are prominent in your profile.

What aspects of the company's sustainability is this role likely to focus on?

The role is heavily focused on the digitalization of the green transition. By automating ESG data flows, you help the company maintain transparency and accuracy in its decarbonization efforts and social governance reporting. Specifically, you will contribute to the continuous improvement of ESG ratings, which affects the company's reputation and financial standing. Your work ensures that Körber’s technological power is leveraged to meet its internal sustainability commitments and external regulatory obligations.

What are the main challenges someone in this role might face?

One of the chief challenges will be homogenizing data from disparate sources across a global organization with over 100 locations. Ensuring data quality and consistency for AI models can be difficult when dealing with legacy systems or varying regional reporting standards. Additionally, you may face the challenge of translating complex technical AI outputs into simple, actionable insights for non-technical sustainability stakeholders. Balancing the rapid pace of AI development with the strict requirements of compliance reporting is a delicate task.

How could a typical day look like for someone in this position?

A typical day might begin with a technical sprint to refine an AI model used for footprint calculations, followed by a meeting with data owners to integrate a new set of ESG metrics. You will likely spend time troubleshooting data pipelines or designing new Power BI visualizations. Afternoons often involve cross-functional collaboration with the Head of Sustainability in Germany or local IT teams in Hungary. You might provide updates on how automation is reducing the reporting burden for local business units or refining the logic behind an ESG dashboard.

What are the opportunities for professional growth and development in this role?

There is significant room for growth into leadership roles sitting at the intersection of IT and Sustainability. As companies increasingly rely on data to prove their impact, professionals who can manage 'ESG Data Operations' will be in high demand for senior management or strategy roles. You may also have opportunities to lead high-visibility innovation projects that set the standard for how the entire Körber Group handles environmental data, potentially expanding your influence onto broader digital transformation initiatives within the company.

The main stakeholders you might be interacting with

Your most frequent interactions will be with the central sustainability team in Hamburg and the IT department. You will act as a bridge between these two worlds, translating environmental needs into technical requirements. You will also interact with data owners across various business areas (Pharma, Supply Chain, Technologies) and potentially external consultants or auditors who review the company’s ESG performance. Engaging with these stakeholders is essential to ensure the AI solutions you build are both accurate and useful.

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