AI Governance Data Scientist
⚲ Gdańsk
Do uzgodnienia
Wymagania
- Python
- R
Opis stanowiska
Nasze wymagania:
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
O projekcie:
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.
Zakres obowiązków:
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.
Data & Model Analysis
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.
Documentation & Compliance Evidence
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.
Data Science
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
Cybersecurity
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.
Collaboration
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
O projekcie:
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.
Zakres obowiązków:
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.
Data & Model Analysis
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.
Documentation & Compliance Evidence
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.
Data Science
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
Cybersecurity
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.
Collaboration
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.
🔍 Dekoder Ogłoszenia
🔴
Ability to work across diverse teams and navigate ambiguity in evolving frameworks
Może oznaczać pracę w chaotycznym środowisku z niejasnymi celami i częstymi zmianami priorytetów.
🔴
Proactive mindset with the ability to identify optimization opportunities and drive change
Oczekuje się, że będziesz samodzielnie identyfikować problemy i proponować rozwiązania, często bez wyraźnych wytycznych.
🔴
Basic knowledge of relevant security requirements in regulated environments
Może oznaczać, że Twoja rola będzie miała minimalny wpływ na kwestie bezpieczeństwa, a wiedza będzie potrzebna tylko do podstawowego zrozumienia kontekstu.
🟡
Strong academic background with coursework or research in machine learning, AI, statistical modeling and data analysis
Chociaż mile widziane, może to sugerować, że praktyczne doświadczenie w tych obszarach jest mniej ważne niż teoretyczna wiedza.
🟢
German language beneficial
Znajomość języka niemieckiego nie jest wymagana, ale może dać Ci przewagę nad innymi kandydatami.