Data Scientist (Singapore, SG, 117440)

SAP
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Curiosity","Independent work","Collaboration"]

Develop and deploy end-to-end AI solutions for customer support use cases, including case analysis, knowledge retrieval, recommendations, classification, and automation. Work on ML/AI systems using LLM-based applications, retrieval systems, semantic search, knowledge graphs, embeddings, RAG, and agentic workflows. Translate business and technical requirements into production-ready services by taking models from experimentation to deployment and collaborating with engineers and data teams.

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FursaFursa
SAP
SAP
2 hours ago

Data Scientist (Singapore, SG, 117440)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Develop and deploy end-to-end AI solutions for customer support use cases, including case analysis, knowledge retrieval, recommendations, classification, and automation. Work on ML/AI systems using LLM-based applications, retrieval systems, semantic search, knowledge graphs, embeddings, RAG, and agentic workflows. Translate business and technical requirements into production-ready services by taking models from experimentation to deployment and collaborating with engineers and data teams.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Understand business and technical requirements for AI/data science solutions in the Support Delivery domain.
  • •Build AI-powered services for customer support use cases such as retrieval, recommendations, classification, and automation.
  • •Move models and algorithms from experimentation to production in collaboration with machine learning engineers and developers.
  • •Design and implement data pipelines, model pipelines, and ML microservices as required.
  • •Analyze large-scale structured and unstructured data to improve performance and generate actionable insights.
Travel: Low travel

Key Requirements

  • •3+ years of hands-on experience in machine learning or applied AI.
  • •A relevant university degree in Data Science, AI, or an equivalent field.
  • •Strong Python and practical data science skills across data analysis, feature engineering, model development, evaluation, and experimentation.
  • •Experience working with structured and unstructured data at scale.
  • •Familiarity with SQL and production-oriented cloud-native tools; Spark or Elasticsearch is valuable.
Experience:Machine learningApplied AI
Education:
Skills:Problem-solvingCommunicationCuriosityIndependent workCollaboration
Tech Stack:PythonSQLSparkElasticsearchLLMsEmbeddingsRAGSemantic searchKnowledge graphsAgentic workflowsData pipelinesModel pipelinesML microservices

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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