We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.
Whatyoullbuild
In this role you will design develop and apply advanced data science statistical and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers engineers and product teams you will build production-ready machine learning and Generative AI solutions while continuously improving model quality performance and business impact.
In this role you will:
Transform business challenges into data-driven solutions byidentifyinganalytical opportunities exploring data engineering features and developing predictive models.
Design develop train evaluate andoptimizemachine learning models and statistical solutions for enterprise business scenarios.
Apply techniques across exploratory data analysis forecasting classification clustering recommendation systems anomaly detection experimentation causal analysis and predictive analytics.
Develop Generative AI applications using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) embeddings vector databases and Agentic AI frameworks.
Integrate analytical and AI solutions into enterprise applications and business processes ensuring scalability robustness andproductionreadiness.
Defineevaluationmetricsvalidatemodel performance monitor deployed models and continuously improve solution accuracy and reliability.
Work closely with customer teams to understand business processes data landscapes and operational challenges to co-create impactful AI solutions.
Collaborate with AI Engineers Data Engineers Product Managers and UX teams to deliver end-to-end AI products.
Communicate analytical findings technical trade-offs and solution recommendations clearly to engineering teams and customer stakeholders.
Stay current with the latest advancements in Data Science Machine Learning Generative AI and Agentic AI applying emerging techniques whereappropriate.
What you bring
Strong hands-onexpertisein Data Science Machine Learning and Applied AI with excellentproficiencyin Python and SQL.
Experience with machine learning frameworks such as Scikit-learn TensorFlowPyTorchXGBoost or similar technologies.
Strong understanding of statistics probability hypothesis testing experimental design model evaluation and feature engineering.
Experience developing predictive models recommendation systems forecasting models anomaly detection and classification algorithms.
Hands-on experience with Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) embeddings vector databases and AI orchestration frameworks such asLangGraphLangChainCrewAI orAutoGen.
Experience deploying machine learning and AI solutions using cloud-native platforms and modernMLOpspractices.
Familiarity with SAP data landscapes including SAP S/4HANA SAP HANA Cloud SAP BW/4HANA SAP Business Technology Platform (BTP) AI Core AI Launchpad and SAP AI services is an advantage.
Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy interpretability scalability and business value.
Strong communication collaboration and problem-solving skills with the ability to work effectively in customer-facing environments.
You proactivelyleverageAI in your everyday workflows ensuring high-quality outcomes through thoughtful context design experimentation and system integration.
Where you belong
You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas Europe and Asia. We bring together deep AIexpertise strong industry knowledge and regional understanding to help customers innovate andlead intheir with cross-functional teams to solve challenging business problems build enterprise-grade AI solutions and deliver measurable customer value. This is a place for curious builders who enjoy learning experimenting and applying AI to real-world business challenges.
#SAPIndustryAICareers
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software SAP has evolved to become a market leader in end-to-end business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves. At SAP you can bring out your best.
We win with inclusion
SAPs 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 to complete your application please send an e-mail with your request to Recruiting Operations Team:
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 their age race religion national origin ethnicity gender (including pregnancy childbirth et al) 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 .
Required Experience:
Senior IC
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