Data Scientist (Expert) within Total Reward

Job Description

What you'll bring

You have direct experience with compensation or HR data — you know how pay decisions are made, what the data behind them looks like, and what it takes to manage that information responsibly at scale. You bring technical depth in data engineering and analytics and work effectively whilst demonstrating independence.

• Hands-on experience with compensation or HR datasets, including how pay structures are modelled, analysed, and reported
• Deep data engineering skills — pipeline design and the ability to build scalable, reproducible analytical frameworks
• Functional experience delivering BI reporting and self-service analytics to senior and executive audiences
• An understanding of responsible data practices and governance when working with sensitive employee data
• Experience applying agentic AI and AI-assisted automation to reduce manual effort and improve process efficiency
• Degree or higher preferred in a quantitative field

We also look for people who think strategically, understand the business, and can bring others along with them — combining influencing skills and emotional intelligence with the ability to work through complex problems confidently.

In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools — including agentic AI — in their day-to-day work, from crafting effective inputs and automating routine tasks, to evaluating AI-generated outputs for quality and driving adoption of AI practices within their teams.

What you'll build

You'll establish the reporting capability at the centre of SAP's Total Rewards function — defining the architecture, standards, and frameworks that replace ad hoc reporting with a scalable model for over 100,000 employees globally.

• Design and implement the reporting architecture for repeatable Total Rewards queries, including Business Data Cloud integrations, AI-generated dashboards, and HTML reporting solutions
• Build automated reporting for compensation cycles and executive audiences, reducing manual effort and time to insight
• Establish data modelling standards that make outputs reproducible, consistent, and shareable across the team
• Develop AI-based tooling and agentic workflows that remove repetitive manual tasks and free the team for higher-value work
• Create self-service scripts and documentation frameworks that reduce ad hoc demand and enable knowledge transfer
• Act as functional lead — setting the technical standard, defining quality benchmarks for analyst output, and raising the team's overall capability

Where you belong

This role sits within SAP's People & Culture organisation, inside the Total Rewards function — responsible for compensating over 100,000 people globally. You'll work closely with senior stakeholders across HR and Finance, influencing how SAP designs the HR products it sells to customers. The team is building a dedicated analytics function for the first time, which means real scope to define how it operates. People who thrive here are proactive, build strong cross-functional relationships, and are energised by working where the patterns don't yet exist. The role is based at SAP's UK headquarters in Feltham, with hybrid working available.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: [email protected].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.