In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business critical problems. Embedded directly within customer environments and fast-moving delivery teams you translate strategic and operational challenges into rigorous analytical solutions to solve complex real world business problems at speed. You work closely with customers to deliver scalable, enterprise grade outcomes that drive measurable business value for customers and SAP. You are accountable for the quality, impact, and delivery of complex analytical initiatives. Acting as a subject-matter expert, you provide clear guidance, manage ambiguity, and ensure data-driven solutions are robust, reliable, and aligned with business objectives. What You'll build In this role, you will: - Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights. - Design, develop, train and implement mathematical models, algorithms, and data mining or machine learning solutions to solve complex business problems. - Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning. - Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness. - Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers. - Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate. - Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise. - Work in an embedded, customer-facing setup, collaborating closely with customer teams on-site or in the customer environment to deeply understand their data, applications, and business context, and to co-develop and deliver impactful data- and AI-driven solutions. What you bring: - Expert-level proficiency in data science and machine learning, with strong command of Python and SQL and the ability to design, validate, and optimize end-to-end analytical and ML solutions. - Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes. - Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation. - Proven experience applying a wide range of machine learning techniques (e.g. classification, forecasting, clustering, recommendation systems, anomaly detection, balancing accuracy, robustness, interpretability, and usability at scale. - Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions. - Experience delivering production-ready analytics and ML systems using modern data platforms, with a strong focus on data quality, governance, and reusability. - Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights. - Build end-to-end data pipelines and ETL/ELT processes - Strong expertise in data modelling, orchestration, and integration across systems - Proficient in Python and SQL - Experience with big data frameworks (PySpark) and Databricks - Use of data orchestration tools (e.g., Airflow) - Hands-on with SAP HANA and enterprise data platforms - Work with columnar/lakehouse formats (Parquet, Delta Lake) - Implement real-time data streaming (Kafka or equivalent) - Ensure data quality, governance, and compliance (PII, data ethics) - Apply CI/CD, Docker, and Git in data engineering workflows - You demonstrate a proactive approach to leveraging AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration. Where you belong: You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape. We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy-not just produce analysis. We value sharp thinking, business curiosity, and clear communication. Requisition ID: 454085 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid Requisition ID: 454085 Posted Date: May 29, 2026 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location: