Data Science Engineer

Procter & Gamble
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Coaching","Mentorship","Influence"]

Design, research, and customize scalable data science algorithms that improve business processes. Apply operations research (optimization and simulation) and machine learning methods—plus generative and agentic AI—to build dynamic models. Partner with Data and AI Engineering teams to productionize solutions using exploratory data analysis, feature engineering, and model building in cloud environments on large datasets. Serve as a technical coach and recognized expert in one or more techniques, translating model improvements into measurable business outcomes.

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FursaFursa
Procter & Gamble
Procter & Gamble
2 months ago

Data Science Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 days agoStatus: Live

Job Summary

Design, research, and customize scalable data science algorithms that improve business processes. Apply operations research (optimization and simulation) and machine learning methods—plus generative and agentic AI—to build dynamic models. Partner with Data and AI Engineering teams to productionize solutions using exploratory data analysis, feature engineering, and model building in cloud environments on large datasets. Serve as a technical coach and recognized expert in one or more techniques, translating model improvements into measurable business outcomes.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Research, design, and customize algorithms tailored to various problems and data types.
  • •Develop scalable data science algorithms using operations research and machine learning models.
  • •Apply generative and agentic AI techniques to create more dynamic, responsive models.
  • •Collaborate with Data and AI Engineering teams to productionize solutions using EDA, feature engineering, and model building in cloud environments.
  • •Mentor others as a technical coach and build expertise in one or more data science techniques, quantifying business impact.

Key Requirements

  • •Bachelor’s, Master’s, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.).
  • •2-5 years of relevant work experience in Data Science.
  • •Proficient in Python and familiar with data science/machine learning libraries such as OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
  • •Demonstrated ability to develop and test code within cloud environments.
  • •Strong written and verbal communication skills, with the ability to influence others to take action.
Experience:2-5 years
Education:Bachelor's in quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
Skills:CommunicationCollaborationCoachingMentorshipInfluence
Tech Stack:PythonOpenCVScikit-learnPyTorchTensorFlowKerasPandasOperations ResearchOptimizationSimulationMachine learningTree modelsDeep learningReinforcement learningGenerative AIAgentic AICloudGCPAzureFeature engineering

Company Brief

Procter & Gamble
Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cincinnati, United States
Founded: 1837
WebsiteLinkedIn