Responsible AI Senior Data Scientist

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Workday’s core value of integrity is the driving force behind the Workday Compliance & Integrity Team, which provides all Workmates with the knowledge and tools needed to act with integrity in all business situations, including the development of innovative artificial intelligence (AI) products and services. Workday has been named one of the World’s Most Ethical Companies for five years, by Ethisphere, a global leader in defining and advancing the standards of ethical business practice. The Responsible AI program sits within the Compliance and Integrity team within Workday’s Legal, Compliance, and Corporate Affairs organization for good reason – the mission of this program is to facilitate Workday’s ambition to develop innovative and trustworthy AI and ML products that delight customers and positively impact society. This is a purposeful, high visibility program with an ambitious agenda and executive support.

About the Role

This is an exciting opportunity to assist with the growth and maturation of a still new but rapidly growing program at Workday, Responsible AI. In order to keep up with the accelerating demand to deliver advanced and innovative AI products and technologies to our customers, we must scale our ability to govern Workday’s development of AI technologies. The Responsible AI senior data scientist role is focused on developing the analytic capabilities needed to effectively translate and implement policies, guidelines, and standards set by the Responsible AI team. This includes contributing to the development of responsible AI evaluation capabilities, creating customer-facing analysis reports and deliverables, and staying ahead of emerging methods, tools, and best practices in responsible AI (e.g., fairness, explainability, robustness, and observability) to anticipate future needs and risks and continuously advance our AI governance across evolving priority areas.

This is a collaborative role as the Responsible AI team works closely with our ML engineers, product teams, and legal and privacy teams. The Responsible AI senior data scientist will be instrumental in providing the data-driven insights necessary to guide the ethical and responsible development of Workday's AI technologies. This role offers the opportunity to work at the intersection of data science, AI ethics, and product development, contributing critical analytical capabilities to support a company-wide commitment to Responsible AI.

Responsibilities

• Partner with functions adjacent to Responsible AI, including product, legal, privacy, and security stakeholders to interpret principles, policies, and standards, and turn them into concrete, testable requirements and evaluation plans across the AI development lifecycle.

• Develop, maintain, and embed reusable evaluation methods and pipelines (e.g., for fairness, robustness, safety, or quality) into AI platforms and workflows so that product and engineering teams can easily test, monitor, and improve AI systems aligned to Workday’s Responsible AI governance framework

• Define, implement, and document a curated set of metrics, evaluation templates, and best practices that teams can consistently adopt across diverse AI use cases, supporting scalable and repeatable Responsible AI governance.

• Stay informed about developments in Responsible AI and AI evaluation, and translate relevant advances into practical recommendations, prototypes, and improvements to the team’s evaluation capabilities, with a strong focus on real-world impact.

• Produce clear, stakeholder-facing analyses and narratives that explain evaluation approaches, findings, and tradeoffs, and act as an advocate for integrating Responsible AI considerations early and consistently in product and model development.

About You

Basic Qualifications

• 5+ years experience working in a data science, data analytics or data engineering role or function.  

• Experience in a data science, data analytics, or data engineering role or function, applying statistical and/or machine learning methods to real-world data.

• Proficiency in at least one programming language commonly used for data and ML (e.g., Python, R, or Java), demonstrated through production systems, open-source contributions, or substantial projects.

• Working knowledge of statistical analysis and hypothesis testing, including designing experiments and interpreting results.

• Hands-on experience with modern ML and/or LLM tooling and platforms (e.g., Kubeflow, SageMaker, Databricks, or comparable tools), and familiarity with LLM observability and evaluation frameworks (e.g., LangSmith or similar).

• Demonstrated experience incorporating responsible AI practices into your work (e.g., fairness, transparency, ethics, and privacy considerations in AI systems).

• Experience working closely with cross-functional partners such as product, technology/engineering, and legal or privacy teams.

Other Qualifications

• Familiarity with cloud services and architectures (e.g., AWS, Azure, Google Cloud)

• Familiarity with current and emerging AI policies, regulations, and guidelines such as NIST AI Risk Management Framework and EU AI Act

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here.

 

Primary Location Base Pay Range: €80,200 EUR - €120,200 EUR Ireland

 

 

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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