SAP Data Scientist Job Openings 2026 :-
SAP is hiring candidates for the role of Associate Data Scientist for the Bangalore, India locations. The complete details about SAP Data Scientist Job Openings 2026 are as follows.
| Company Name:- | SAP |
| Required Education: | Bachelor’s or Master’s |
| Required Skills: | Foundational understanding of knowledge representation, semantic data systems, or graph databases (through coursework, research, or personal projects). Familiarity with at least one graph query language (SPARQL, Cypher, or GQL) |
| Job Area | Software-Design and Development |
| Employment Type | Regular Full Time |
| Job ID: | 459681 |
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field — recent graduates welcome.
- Foundational understanding of knowledge representation, semantic data systems, or graph databases (through coursework, research, or personal projects).
- Familiarity with at least one graph query language (SPARQL, Cypher, or GQL) or a willingness to learn quickly; some exposure to the trade-offs between RDF triple stores and property graph databases is a plus.
- Exposure to modern GenAI concepts — RAG, embeddings, vector databases, semantic retrieval — through coursework, research, or hands-on experimentation.
- Solid Python and SQL skills; some experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (academic projects, research work, and personal projects all count).
- Eagerness to learn production-grade development practices and grow into operating AI/ML solutions end-to-end.
- Clear, collaborative communication style — you ask good questions, explain your thinking, and work well with others.
Preferred Qualifications
- Hands-on experience — through internships, research, or projects — with ontology design, semantic modeling, or knowledge graphs.
- Any exposure to enterprise software ecosystems (SAP, Salesforce, Workday, ServiceNow, or similar) is a real accelerator here.
- Familiarity with the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) or property graph query languages (Cypher, GQL).
- Academic or project experience in machine learning and deep learning, including training, evaluating, and improving models on real datasets.
- Curiosity about agentic AI, reasoning frameworks, multi-agent architectures, or planning and orchestration.
- Experience contributing to shared or reusable codebases — open-source projects, research codebases, or team projects.
Responsibilities
- Support the design and maintenance of enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes — learning how data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers gets harmonized into unified semantic layers.
- Contribute to AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP’s agents accurate and reliable in production.
- Develop and iterate on AI solutions — including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets.
- Learn SAP’s deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce — and apply that context to ground AI solutions in real enterprise reality.
- Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows.
- Collaborate across product, engineering, and business teams to understand how ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process from early stages through deployment.
- Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real-world enterprise datasets.
SAP Data Scientist Job Openings 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
