AI Data Scientist Expert

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.

What youll build

We are looking for highly skilled AI Data Scientist to join our passionate SAP Partner Engineering team to build and deliver enterprise-grade Generative AI and Agentic AI applications and drive SAP Business AI by building Agents in our End to End Partner Business processes and applications. You will work closely with solution architects and product owner and business team to implement scalable production-ready AI solutions that accelerate AI adoption across SAP Partner Business processes.
Youll architect and deploy sophisticated AI agents that analyse enterprise business systems - SAP CRM S/4HANA MDG SAP BDC etc. Youll build generative AI solutions for automated data assessment develop intelligent recommendation systems and create AI-powered frameworks that guide customers toward optimal data quality measures. Your work will be the core engine driving our platforms ability to automatically understand evaluate and remediate enterprise data at scale.

• Architect and deploy production-ready AI agents and generative AI solutions for enterprise data management
• Build and optimize large language model (LLM) applications for automated data analysis and recommendation generation
• Develop intelligent automation systems that can assess understand and remediate complex enterprise data landscapes
• Deploy advanced data quality assessment models that automatically evaluate customer data and provide actionable AI-generated recommendations
• Pioneer cutting-edge AI techniques including prompt engineering retrieval-augmented generation (RAG) and agentic frameworks
• Provide expert consultation to stakeholders on AI-driven data evaluation strategies and automated remediation planning
• Mentor junior team members and establish best practices for AI/ML development across the team
• Research and evaluate emerging AI technologies to enhance platform capabilities and maintain competitive advantage

What You Bring

• 5 years of professional experience in AI/ML engineering data science or related roles with demonstrable impact on production AI systems
• Hands-on experience building deploying and maintaining AI agents and generative AI applications for enterprise or production environments
• Expert knowledge of large language models (LLMs) prompt engineering and agentic frameworks (e.g. LangChain LangGraph OpenAI API Anthropic Claude)
• Proven experience with MLOps practices
• Expert-level proficiency in Python with extensive experience using AI/ML libraries (pandas NumPy scikit-learn TensorFlow/PyTorch transformers langchain)
• Strong understanding of advanced machine learning techniques including classification regression clustering and recommendation systems
• Proven ability to translate complex AI capabilities into clear business value and strategic recommendations
• Excellent communication skills in English with ability to present technical AI concepts to both technical and non-technical stakeholders
• Experience working in collaborative agile environments with cross-functional teams

Nice to Have

• Advanced experience with enterprise data platforms (DataBricks Data Sphere) and data engineering principles
• Knowledge of data quality frameworks governance and enterprise data management principles
• Advanced SQL skills for complex data extraction manipulation and optimization across enterprise systems
• Domain knowledge in enterprise software ERP systems (especially SAP) or data migration projects
• Understanding of enterprise compliance requirements and regulatory frameworks
• Experience with advanced statistical analysis hypothesis testing and experimental design methodologies
• Leadership experience mentoring junior data scientists or AI engineers

Where You Belong

Youll join an international diverse team of AI engineers data scientists and product experts who are passionate about pushing the boundaries of enterprise AI applications. We operate in a flexible hybrid environment that supports work-life balance while fostering strong team connections and professional growth. Youll find a supportive atmosphere that values both analytical rigor and innovative problem-solving.

As an AI Data Scientist Expert youll have the opportunity to shape the future of enterprise AI automation drive innovation through cutting-edge AI capabilities and make a meaningful impact on how organizations worldwide leverage artificial intelligence for their data transformation journeys.

#DevT4

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.

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

Requisition ID: 447276 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid