Data Scientist Bangalore

SAP

Not Interested
Bookmark
Report This Job

profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

We help the world run better

At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences values flexibility and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative caring team environment with a strong focus on learning and development recognition for your individual contributions and a variety of benefit options for you to choose from.

What youll Build

At SAP Procurement Engineering our mission is to build the worlds leading cloud-based spend management solution by unifying procurement capabilities across SAP S/4HANA SAP Ariba SAP Business Network and SAP Fieldglass.

To strengthen our AI capabilities we are looking for a Data Scientist who will design and build Agentic AI solutions for S/4HANA public cloud Procurement. In this role you will help create intelligent procurement assistants that analyze enterprise procurement data generate insights predict risks and autonomously trigger actions across procurement workflows.

In this role you will:

    • Design and develop Agentic AI solutions that power intelligent procurement assistants capable of reasoning planning and executing procurement tasks.
    • Build machine learning and predictive models on procurement data to detect anomalies predict supply risks optimize purchasing decisions and improve operational efficiency.
    • Develop AI agents that monitor procurement processes (purchase requisitions purchase orders contracts supplier confirmations) and proactively recommend or trigger actions.
    • Leverage data from S/4HANA procurement modules supplier interactions to generate insights and decision intelligence by leveraging data products
    • Build data pipelines and feature engineering frameworks for procurement analytics using enterprise data platforms.
    • Design and architect LLM-powered assistants that allow users to interact with procurement data using natural language.
    • Work closely with product managers procurement domain experts and engineering teams to translate procurement workflows into AI-driven automation and autonomous agents/assistants
    • Build agent orchestration frameworks where multiple agents collaborate to solve procurement problems.
    • Ensure AI solutions are scalable explainable and aligned with enterprise compliance security and responsible AI principles.
    • Contribute to the AI architecture roadmap for procurement driving innovation in predictive analytics autonomous workflows and decision intelligence.
    • Continuously explore advancements in agentic AI LLMs reinforcement learning and enterprise AI platforms to enhance SAPs procurement solutions.

What you bring

  • 7 years of experience in Data Science AI or Applied Machine Learning with a Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Statistics or related fields.
  • Full stack developer with strong expertise in machine learning statistical modelling and predictive analytics with experience building production-grade AI applications.
  • Hands-on experience with Python Langraph Langchain and data science libraries
  • Experience working with large-scale enterprise datasets and building data pipelines feature stores and model deployment workflows.
  • Experience building LLM-powered applications including prompt engineering retrieval-augmented generation (RAG) and agent-based architectures.
  • Familiarity with Agentic AI frameworks multi-agent orchestration and autonomous decision systems.
  • Strong knowledge of data engineering concepts including data pipelines APIs and distributed data processing.
  • Experience integrating AI models with enterprise platforms and APIs.
  • Understanding of responsible AI practices model explainability bias mitigation and governance in enterprise AI systems.
  • Strong understanding in agile development processes
  • functional knowledge of Procurement/MM or related business domains is an added advantage.
  • Ability to lead complex technical problem-solving drive architectural decisions and support engineering teams through design reviews mentoring and best-practices.
  • Demonstrated ability to work effectively in a fast-paced cloud product environment with a strong focus on performance extensibility maintainability clean-core compliance and developer efficiency.

Where you belong

  • At SAP Ariba Procurement you will join a collaborative supportive and high-energy engineering product team that values curiosity ownership and continuous learning.
  • We collaborate closely through design discussions code reviews pair programming and regular knowledge-sharing sessions.
  • Youll be part of a workplace that values inclusion respects diverse perspectives and believes in building strong engineering talent from within.

#SAPInternalT2

#SAPReturnshipIndiaCareers

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 SAPyou 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 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:
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.

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: 432211 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid.


Required Experience:

IC

We help the world run better At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences values flexib...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

Company Logo

SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer soluti ... View more

View Profile View Profile