Data Science Chief Expert - Spend Management (Bangalore, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: mastersSkills: ["Communication","Collaboration","Customer-facing","Agile development"]

Build and scale SAP’s semantic and contextual foundation for AI agents powered by enterprise business data. You’ll design enterprise ontologies and semantic models, translate business challenges into AI use cases, and deliver end-to-end machine learning and generative AI solutions from experimentation and validation through deployment and lifecycle support. Work with cloud/data platforms and SAP’s business ontology to enable reliable, production-ready AI across enterprise process domains.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Chief Expert - Spend Management (Bangalore, IN, 560066)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale SAP’s semantic and contextual foundation for AI agents powered by enterprise business data. You’ll design enterprise ontologies and semantic models, translate business challenges into AI use cases, and deliver end-to-end machine learning and generative AI solutions from experimentation and validation through deployment and lifecycle support. Work with cloud/data platforms and SAP’s business ontology to enable reliable, production-ready AI across enterprise process domains.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Leverage SAP data and process understanding to build AI and semantic data solutions across enterprise process domains.
  • •Design and maintain enterprise ontologies and semantic models to improve interoperability and harmonize SAP and non-SAP data sources into unified semantic/analytical layers.
  • •Use cloud and data platforms (e.g., Databricks and SAP/cloud offerings) to support reliable AI workflows.
  • •Translate ambiguous business challenges into concrete AI use cases, technical designs, and measurable business outcomes.
  • •Design, develop, evaluate, and operationalize end-to-end ML and AI solutions, including deployment, production handoff, and lifecycle support.
Travel: Low travel

Key Requirements

  • •Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
  • •10+ years of experience in machine learning/deep learning, statistical modeling, generative AI, and LLMs, including hands-on model development, evaluation, and improvement using real-world datasets.
  • •Strong Python and SQL skills, including production-grade Python development and experience with PyTorch, TensorFlow, and scikit-learn.
  • •Proven experience deploying and operating AI/ML solutions in production environments, including production handoff and lifecycle support.
  • •Experience with big data infrastructure and cloud platforms such as Databricks and AWS/Azure/GCP, plus deep understanding of SAP data models and end-to-end business processes.
Experience:10+ yearsEnterprise softwareAIMachine learningGenerative AI
Education:Master's
Skills:CommunicationCollaborationCustomer-facingAgile development
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnMachine learningDeep learningGenerative AILLMsDatabricksSAP DatasphereSAP HANA CloudAWSAzureGoogle Cloud PlatformSAP Graph APISAP Business Accelerator HubSAP Business Data CloudSAP One Domain ModelSAP HANA Cloud Knowledge Graph Engine

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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