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Intelligent Document Processing Data Scientist

Job Description

Job Responsibilities
  • Deliver automated document extraction and data enrichment solutions.
  • Manipulate data using Python or SQL; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
  • Manually label and validate small training data sets.
  • Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes.
  • Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply NLP and machine learning techniques.
  • Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
  • Create technical documentation to archive end-to-end processes

    • Qualification



  • 5+ years of experience in data science

  • 2+ years of experience with NLP, GenAI, OCR, and/or image analytics

  • Ability to work nearly autonomously

  • Mentor junior team members

  • Exposed in manipulating, processing and extracting value from datasets

  • Detail oriented with strong organizational skills

  • Strong critical thinking skills in order to tackle complex data challenges

  • Comfortable working in a fast paced and highly collaborative global team

  • Experience configuring & establishing automations utilizing IDP software solutions is a huge plus

  • The ideal candidate will have experience working in the insurance industry

  • Experience with cloud computing platforms such as Azure, AWS or GCP

  • Strong Python or equivalent software

  • Strong SQL skills


    • About The Specialty Insurance Company

    The company is a global leader in providing specialty insurance, reinsurance, and mortgage insurance solutions.

    Intelligent Document Processing Data Scientist

    Specialty Insurance Company

    Quezon City

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    Salary

    90,000-90,000/month

    Position Level

    Job Level

    Experienced Hire

    Job Type

    Hiring Until

    01/13/2025

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