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AI Specialist Sustainability

Körber Campus Pécs • Hungary • Added on Aug 12, 2026
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This role bridges the gap between advanced data science and corporate responsibility by designing AI-driven solutions to automate and enhance ESG reporting. You will own the technical architecture of sustainability data, transforming raw inputs into streamlined disclosures that meet rigorous global standards. By identifying relevant data sources and building intuitive dashboards, you will enable the group to monitor its environmental and social performance with unprecedented precision.

The position is critical because it moves sustainability from a manual administrative task to a tech-enabled strategic asset. At a global technology group like Körber, the accuracy of CSRD and EU Taxonomy reporting directly influences investor trust and the company’s competitive edge in a greening industrial market. You are not just processing data; you are providing the clarity needed to decarbonize a massive global supply chain.

This suits someone who possesses a strong foundation in machine learning and data visualization but is deeply motivated by environmental impact. You should be a structured problem-solver who enjoys collaborating with international teams to solve complex reporting puzzles.

FAQ del ruolo

What are the main missions and responsibilities of this role?

The core mission involves leveraging artificial intelligence and machine learning to revolutionize how the company tracks and reports its environmental and social impact. You will be responsible for the end-to-end development of AI-driven solutions, from programming and testing to final implementation within the group's reporting ecosystem. Beyond technical development, you will act as a data architect for sustainability, identifying and integrating diverse ESG data sources to ensure compliance with the Corporate Sustainability Reporting Directive (CSRD) and the EU Taxonomy. Creating high-level dashboards and visualizations will be essential for monitoring performance and informing executive decisions.

Key learning opportunities for this job

This role offers a unique chance to gain hands-on expertise in CSRD and EU Taxonomy, which are currently the most significant regulatory developments in the European sustainability landscape. You will learn how to apply cutting-edge AI technologies specifically to non-financial data, a high-growth niche in the tech world. Furthermore, you will receive exposure to global ESG rating methodologies such as EcoVadis and CDP. Working closely with the Head of Sustainability at the Hamburg headquarters will provide valuable insights into how a multi-national technology group translates high-level strategy into local operational excellence.

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

The ideal candidate holds a degree in Data Science or Computer Science, or potentially Sustainability Management if backed by strong technical programming skills. You should have at least 2-3 years of professional experience where you have already applied ML or AI technologies to complex data sets. Technical proficiency in Power BI and data analysis tools is essential, alongside a structured and independent working style. While a deep understanding of ESG frameworks is highly helpful, the ability to communicate technical concepts to non-technical stakeholders in fluent English is a non-negotiable requirement for success in this cross-functional role.

Advice to stand out and make a successful application

To stand out, demonstrate a portfolio of data-driven projects where you have used AI to solve real-world problems, particularly those involving messy or fragmented data sets. Highlighting any specific experience with ESG or financial reporting software will give you a significant advantage over generalist data scientists. In your cover letter, articulate your genuine enthusiasm for sustainability. Explain why you want to use your AI skills for social and environmental good rather than purely commercial optimization. Showing an understanding of the specific challenges of the machinery and manufacturing industry will further demonstrate your readiness for the role.

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

The role is primarily focused on transparency and accountability through the lens of ESG reporting. By automating data flows, you ensure that the company's sustainability claims are backed by verifiable, real-time data, which is crucial for maintaining high EcoVadis and CDP rankings. You will also likely touch upon resource efficiency and decarbonization. By creating performance dashboards, you help the company identify hotspots in their energy consumption or supply chain emissions, allowing for more targeted and effective sustainability interventions across their 100+ global locations.

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

One of the primary hurdles will be data fragmentation across different business areas such as Pharma and Supply Chain. Consolidating disparate data types into a unified AI-driven reporting model requires significant patience and technical ingenuity to ensure data integrity is maintained. Additionally, keeping pace with evolving ESG regulations can be challenging. You must ensure that the AI solutions you develop are flexible enough to adapt to changing reporting standards without requiring a total overhaul of the system every time a new directive is released.

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

A typical day might begin with a sprint meeting with the IT and data teams to troubleshoot ongoing AI model implementation. You might then shift to a strategic call with the sustainability team in Hamburg to discuss how to better capture specific EU Taxonomy requirements through automated data pulls. In the afternoon, you could be coding or refining dashboards in Power BI, ensuring that the visualizations are intuitive for senior management. Your day likely ends with documentation or research into new AI tools that could further streamline the group's annual sustainability reporting cycle.

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

There is significant potential to transition into a lead data role within the sustainability department or a senior ESG strategy position. As AI becomes more integral to corporate governance, experts who can bridge the gap between technology and impact will be in high demand for leadership roles. You may also have the chance to spearhead group-wide digital transformation projects. Success in this role could lead to high-visibility opportunities within the Körber Group, potentially involving international assignments or the development of proprietary sustainability tech products.

The main stakeholders you might be interacting with

You will regularly interact with the Head of Sustainability at Körber AG and the central sustainability team in Germany, ensuring alignment with global corporate goals. Locally in Hungary, you will collaborate with IT specialists and data owners who provide the raw inputs for your models. External stakeholders may include ESG auditors and rating agencies who will rely on the accuracy of the systems you build. You will also work alongside various internal business units to help them understand their own ESG performance through the data tools you provide.

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