Data Scientist & Gen AI Consultant

As a Data Scientist and GenAI Expert at SAP Customer Success Services team- BTP Delivery@Scale, you will be responsible for building or augmenting applications leveraging AI/ML to support specific business objectives. Your expertise in developing ML models for customer-specific business scenarios will contribute to improving efficiency and reducing errors over time in business processes. **Role Overview:** You will be part of a team focused on integrating data and processes to enable customers to become Intelligent Enterprises. By leveraging AI technology, you will play a key role in enhancing business processes within and across SAP enterprise solutions, bringing added value to customers. **Key Responsibilities:** - Develop ML models for customer-specific business scenarios - Build or augment applications using AI/ML technology - Collaborate with the team to support business objectives through AI solutions **Qualifications Required:** - B.E./B.Tech./M.Tech./MCA in Computer Science or Masters in Data Analytics/Data Science or equivalent degree - Strong expertise in developing ML models for customer-specific business scenarios At SAP, you will have the opportunity to work in a collaborative team environment focused on learning and development. Recognizing individual contributions and offering various benefit options, SAP is committed to creating a workplace that embraces differences and values flexibility. With a purpose-driven and future-focused approach, SAP aims to help the world run better. Please note that only permanent roles are eligible for the SAP Employee Referral Program. SAP is an equal opportunity workplace and is committed to providing accessibility accommodations to applicants with disabilities. If you require accommodation or special assistance during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. *Requisition ID: 422852 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.* As a Data Scientist and GenAI Expert at SAP Customer Success Services team- BTP Delivery@Scale, you will be responsible for building or augmenting applications leveraging AI/ML to support specific business objectives. Your expertise in developing ML models for customer-specific business scenarios will contribute to improving efficiency and reducing errors over time in business processes. **Role Overview:** You will be part of a team focused on integrating data and processes to enable customers to become Intelligent Enterprises. By leveraging AI technology, you will play a key role in enhancing business processes within and across SAP enterprise solutions, bringing added value to customers. **Key Responsibilities:** - Develop ML models for customer-specific business scenarios - Build or augment applications using AI/ML technology - Collaborate with the team to support business objectives through AI solutions **Qualifications Required:** - B.E./B.Tech./M.Tech./MCA in Computer Science or Masters in Data Analytics/Data Science or equivalent degree - Strong expertise in developing ML models for customer-specific business scenarios At SAP, you will have the opportunity to work in a collaborative team environment focused on learning and development. Recognizing individual contributions and offering various benefit options, SAP is committed to creating a workplace that embraces differences and values flexibility. With a purpose-driven and future-focused approach, SAP aims to help the world run better. Please note that only permanent roles are eligible for the SAP Employee Referral Program. SAP is an equal opportunity workplace and is committed to providing accessibility accommodations to applicants with disabilities. If you require accommodation or special assistance during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. *Requisition ID: 422852 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.*