AI Governance Data Scientist

AI Governance Data Scientist

We are looking for an AI Governance Data Scientist who is passionate about responsible AI and enjoys combining data science with risk, compliance, and transparency. In this role, you support the implementation and day‑to‑day operation of Bayer’s AI Governance framework by providing data‑ and model‑focused analyses, documentation, and monitoring.

You play a key role in ensuring that AI systems are developed and used in a compliant, transparent, and risk‑aware way, aligned with Bayer’s internal policies and evolving external regulations such as the EU AI Act.

Your Tasks And Responsibilities

AI Governance Support & Risk assessments

• Support AI risk assessments by performing defined data and model analyses (e.g., performance checks, bias indicators, basic robustness tests).
• Contribute to AI governance reviews by preparing data‑driven inputs for assessments, reports, and decision documents.
• Apply defined AI governance standards, guidelines, and methodologies.

• Perform data exploration, validation, and quality checks on datasets used in AI systems.
• Support model evaluation activities (e.g., accuracy metrics, stability checks) under guidance of senior team members.
• Assist in the execution of predefined monitoring activities for AI systems in development or production.

• Prepare and maintain governance‑relevant documentation to support Bayer´s obligation under applicable regulations (incl. EU AI Act), such as analysis summaries, model or data descriptions, and monitoring outputs.
• Ensure analyses and results are traceable, reproducible, and properly documented to support audits or inspections.
• Update repositories and tools used for AI governance documentation and evidence management.

• Demonstrate practical knowledge of data scientists tools and techniques
• Provide guidance on matching data sources with relevant applied mathematics and statistical techniques to meet analysis goals
• Support relevant stakeholder with guidance on ethical issues and how they fit into a wider context
• Stay up to date with developments in data ethics standards and legislations frameworks, such as the EU AI Act
• Identify ethical concerns in AI risk assessments

• Support the application of cybersecurity requirements to AI systems in line with internal policies and standards.
• Assist in implementing defined controls to protect data, models, and AI outputs from unauthorized access or misuse.
• Contribute to secure handling of sensitive data (e.g., health, personal, or confidential business data).
• Collaborate with cybersecurity and IT teams to address identified vulnerabilities or risks.

• Work closely with AI governance colleagues, data scientists, data engineers, and AI product teams.
• Support interactions with legal, compliance, data privacy, and risk management functions by providing analytical inputs (i.e. ITLM process / UNITE program).
• Escalate findings, issues, or uncertainties to senior roles as required.

• Education: Bachelor´s degree in Computer Science, Mathematics, Engineering or similar
• Skills/experience: minimum 3 years experience
• Strong academic background with coursework or research in machine learning, AI, statistical modeling and data analysis
• Proficiency in programming languages such as Python or R for data analysis and machine learning
• Familiarity with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, pandas, and NumPy
• Advanced knowledge of statistical methods and techniques
• Experience in hypothesis testing, regression analysis, clustering, and classification
• Expertise in machine learning algorithms and techniques
• Knowledge of secure data handling practices, including:data access control, handling of sensitive or personal datamdata classification requirements, data recovery
• Familiarity with secure development practices, such as:avoiding hard-coded credentialssafe use of external libraries and APIsversion control and traceability
• Basic knowledge of relevant security requirements in regulated environments
• Strong understanding of AI risk, ethics, and governance concepts
• Knowledge of AI regulations (e.g. EU AI Act).
• Ability to work across diverse teams and navigate ambiguity in evolving frameworks
• Proactive mindset with the ability to identify optimization opportunities and drive change
• Fluent in English language. German language beneficial

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Bayer respects and applies the Whistleblower Act in Poland.

Location: Poland : Pomorskie : Gdańsk

Division: Enabling Functions

Reference Code: 870946

Location:

Poland : Pomorskie : Gdańsk

Division:

Enabling Functions

Reference Code:

870946