Business Process Consultant Data Science (w/m/d) – AI & SAP Retail Intelligence

What you’ll bring

You bring a solid analytical and data science background, ideally based on a degree in mathematics, computer science, data science, engineering, natural sciences, or a comparable qualification with relevant professional experience. You have practical experience in time series analysis, statistical methods, machine learning, AI-enabled forecasting, data preparation, and data quality checks.

You are confident working with SQL, databases, large data volumes, data models, and analytical questions. You understand integration scenarios and are able to evaluate functional and technical requirements with technical teams. Experience with data integration, complex system landscapes, and heterogeneous data sources is a plus.

You want to apply data science methods in real retail business processes. You are motivated to grow your expertise in SAP Retail Intelligence, Demand and Inventory Planning, AI-based planning, and customer-facing consulting. Detailed knowledge of all SAP components is not mandatory, but curiosity and willingness to learn SAP Retail Intelligence and modern planning processes are essential.

You communicate analytical results clearly to different stakeholder groups and translate them into actionable recommendations. You work in a structured, self-directed, and team-oriented way, have strong analytical thinking skills, and enjoy working in international teams. Fluency in German and business-level English are required.

What you’ll build

You will support international retail customers in implementing and integrating SAP Customer Activity Repository, Unified Demand Forecast, and SAP Retail Intelligence, with a focus on data analysis, AI- and ML-enabled demand forecasting, replenishment, and inventory optimization.

You will assess, prepare, and evaluate large data volumes and contribute to robust forecasting, planning, and optimization models. Your work will include time series analysis, feature engineering, model validation, forecast quality assessment, error analysis, KPI concepts, model monitoring, retraining approaches, and the continuous improvement of forecasting models.

You will contribute to data integration between SAP components and heterogeneous data sources and help ensure data quality through validations, monitoring, and appropriate governance methods. In close collaboration with functional and technical teams, you will help customers improve end-to-end processes in demand planning, forecasting, automated replenishment, and inventory management.

You will also contribute to next-generation forecasting solutions and AI topics, helping customers prepare for and successfully adopt innovative planning and forecasting capabilities. In this role, you will support our retail customers on their Autonomous Enterprise journey towards Autonomous Unified Commerce.

Where you belong

You will join the Consumer Industry Services team, where we support international retail customers with demand forecasting, automated replenishment, inventory optimization, and Demand and Inventory Planning. Our team combines data science, SAP solution expertise, retail process knowledge, and customer-facing consulting. We work on modern SAP Retail Intelligence scenarios and actively collaborate on next-generation forecasting and AI topics to make new technological opportunities usable for our customers and support adoption readiness.

This role is designed for candidates who want to use their data science expertise in real business processes and grow into a future-oriented AI and SAP Retail consulting role. You will work with skilled colleagues, international stakeholders, and customers who are shaping the next step towards SAP Autonomous Enterprise and Autonomous Unified Commerce.

We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role:

Data Science · Time Series Analysis · Statistical Methods · Machine Learning · AI-enabled Forecasting · SQL · Data Modeling · Data Quality Management · Data Integration · Retail Forecasting · Retail Replenishment · Demand and Inventory Planning · SAP Retail Intelligence · SAP Customer Activity Repository · Unified Demand Forecast · SAP Business Data Cloud · SAP Business Technology Platform · Business Process Analysis · Business Process Consulting · Business Process Automation · Effective Communication · Strategic Thinking · AI Adoption Capability · AI Output Quality Assurance · AI-Assisted Automation and Prototyping

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: Careers@sap.com.

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.