At a Glance
- Tasks: Design and implement scalable reporting for SAP's Total Rewards function, impacting over 100,000 employees.
- Company: Join SAP, a leader in enterprise applications and business AI, fostering innovation and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team building analytics from the ground up, with excellent career prospects.
- Why this job: Make a real impact by shaping data practices and influencing HR products at a global scale.
- Qualifications: Experience with HR data, strong analytical skills, and a degree in a quantitative field preferred.
The predicted salary is between 56700 - 69300 £ per year.
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.
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.
Data Scientist (Expert) within Total Reward employer: SAP IT Business Systeme
SAP's Belfast office offers an exceptional environment for aspiring technical professionals, providing a unique opportunity to work on cutting-edge cloud infrastructure and DevOps projects. With a strong emphasis on employee growth, collaboration, and innovation, interns benefit from mentorship programmes and a culture that values diversity and inclusion. This placement not only allows you to tackle real-world challenges but also equips you with the skills and experience needed to thrive in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Expert) within Total Reward
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We think you need these skills to ace Data Scientist (Expert) within Total Reward
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SAP IT Business Systeme, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SAP IT Business Systeme. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SAP IT Business Systeme
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SAP IT Business Systeme!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
