Do you have the required Data Science skills to drive real impact at one of the most recognisable brands globally?
The AI Scientist is part of the Data Science — Growth team within the broader Data Science & Analytics organization. Leveraging deep applied experience and theoretical expertise in Artificial Intelligence, this role provides concrete deliverables to the DS&A team and the wider organization in the form of AI Governance principles, AI Service Delivery, and AI Capabilities. The AI Scientist continuously tracks advances in the field, situates them within the broader scientific context, and helps Data Science & Analytics teams make use of AI in the context of their offering to the organization (e.g., DS Services). In partnership with the cross‑functional AI Governance group, they represent Global Data’s perspective, playing a leading role in delivering actionable inputs into initiatives such as AI by Design, AI Risk Classification Clusters, and Procurement and Management of AI Vendors. Additionally, the AI Scientist supports projects run by the DS&A teams by advising them and helping with the implementation of AI techniques to both existing and new Data Science & Analytics initiatives (e.g., Augmented Analytics, Market‑Specific Data & AI Acceleration Programs, drive cost‑efficiency in Data Harmonization initiatives, …).
Responsibilities
Contribute to the development & delivery of AI governance framework
Provide actionable input to AI vendor strategy
Drive embedding of AI capabilities in DS&A initiatives
Translate AI research into organisational practice
AI thought leadership & internal consulting
Areas of expertise that matter most for this role
Deep AI Expertise (proven advanced knowledge of AI across domains incl. LLMs, ML/DL, reinforcement learning, as well as the history of AI leading back to its origins).
Applied & Theoretical AI Knowledge (ability to translate cutting‑edge AI findings into practical applications making use of the scientific method where appropriate).
Research Literacy (interpret, critique, and contextualize academic and industry literature).
AI Governance (ability to contribute to the topic of AI governance and risk management in enterprise contexts).
Data/Analytics Skills (applied knowledge of Python and platforms [e.g., Snowflake] to facilitate interaction with technical/data teams and deliver quick POCs/experiments).
Critical Thinking (ability to distinguish value from hype, particularly in the context of AI vendor procurement).
Communication, Storytelling, & Thought Leadership (articulate complex AI concepts to both technical and non‑technical audiences in an engaging and opinionated manner).
Advisory & Consulting Skills (provide expert guidance in an ad‑hoc fashion to diverse Data Science & Analytics teams and projects).
Stakeholder Management: good at building mutually beneficial connections with functional stakeholders.
Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
Grit: proven capability to see things through to the end even if initial feedback is discouraging.
Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,509 gross per month. However, our attractive compensation package is based on market‑oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin, religion, gender, sexual orientation or origin.
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