Consulting and Professional Services

Data Scientist and GenAI Consultant - T1/T2/T3

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At SAP, we are enabling our customers to become Intelligent Enterprises by integrating data and processes, building flexible value chains, innovating with industry best practices, providing our customers with the ability to understand and act on their customer, partner, and employee sentiment, and how to manage their environmental impact — to grow more resilient, more profitable, and more sustainable”

While we touch 70% of the world’s transactions, our customer would like to leverage the data and take business decision. SAP provides technology support and platform the do the same. SAP vision’s support responsible AI built on leading ethics and data privacy standards while maintaining full governance and lifecycle management for our customers. As part of SAP revised strategy, Generative AI is a transformer and a key contributor in improving the business process within and across SAP enterprise solution and bring enhanced value to our customers.

We at SAP Customer Success Services team- BTP Delivery@Scale, build or augment application leveraging AI/ML to support their business objective. AI brings in improvement the efficiency and reduction in errors over time for a business process. We are looking for Data scientist and GenAI Expert, you have strong expertise in developing ML models for customer specific business scenarios.



  • Guide customers and drive discussions with them to build AI/ML scenario and finalise expected business outcomes.
  • Support our cloud customer base to improve their business process using AI/ML.
  • Work in rapid prototype and agile development environment
  • Develop and put the ML models in production to serve multiple enterprise customers
  • Contribute to end-to-end AI/ML project, not restrictive to only algorithms.
  • Contribute to building models and algorithms.
  • Implement machine learning based intelligent software within a given software architecture in accordance with the SAP process and maintenance strategy.
  • Drive generative ai topics and initiatives leveraging SAP AI eco system.
  • Develop and contribute to generative ai applications for various use cases.
  • Work closely with other data scientist and teams to enable transformation journey with customer.


  • 3-10 years of experience
  • Willingness to interact with customers and passionate to solve their issues
  • Proficient in one or more programming languages (Python OOP is must)
  • Proficiency in ML technologies/libraries like scikit-learn, pytorch, tensorflow etc.
  • Very strong practical hand-on NLP technology usage knowhow (apply in business context)
  • Experience in developing and productizing scalable AI solutions.
  • Very good understanding of Generative AI Concepts
  • Experience in Generative AI technology platform offerings and frameworks(Open source, 3rd party platforms e.g ChatGPT etc.)
  • Good Experience in prompt engineering
  • Proficiency in generative ai frameworks such as Langchain and LlamaIndex
  • Hands-on Exposure to vector databases, and advanced RAG.
  • Hands-on explore to Knowledge Graphs is a plus.
  • Strong inclination to learn and experiment with new concepts and technologies in Generative AI space.
  • Strong data exploration, cleansing, transformation, feature engineering skills
  • Strong SQL knowledge
  • Strong focus on delivering business values to customers
  • Familiarity with code management tools like Git, GitHub etc.
  • Familiarity with cloud computing and cloud native technologies (e.g. Docker, K8S etc.)
  • Communication skills with the ability to communicate appropriately with customers in various situations.
  • Ability to bring forth new ideas and drive them to execution.
  • Knowledge in SAP technologies is a plus (SAP BTP, SAP HANA).


B.Tech./M.Tech. in Computer Science or Master’s in data Analytics/Data Science




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SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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:
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EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 388341  | Work Area: Consulting and Professional Services  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

Requisition ID:  388341
Posted Date:  May 31, 2024
Work Area:  Consulting and Professional Services
Career Status:  Professional
Employment Type:  Regular Full Time
Expected Travel:  0 - 10%

Gurgaon, IN, 122002

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