Intelligent Document Processing Engineer

3 weeks ago

Quezon City, Philippines Eclaro Full time
Job Tasks/Responsibilities:
  • Deliver automated document extraction and data enrichment solutions.
  • Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection
  • 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 or R; apply techniques such as NLP, decision trees, and clustering.
  • Execute proof-of-concepts to evaluate the business value of internal tooling and external vendors/ data.
  • 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
  • Impact Analysis - awareness of how changes, including new or updated processes and automations will impact the business operations and customers.

Mandatory/Primary Skills:Desired Skills/ Experience:
  • A successful history of manipulating, processing and extracting value from datasets
  • Ideally, 3+ years of experience in an engineering role or equivalent using Python
  • Detail oriented with strong organizational skills
  • Excellent 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
  • Experience identifying opportunities for improving business processes
  • The ideal candidate will have experience working in the insurance industry
  • Experience with OCR, NLP, and/or image analytics is a plus
  • Experience with cloud technologies and is a plus

Education:
BS in Computer Science, Information Technology degree, Data Analytics or equivalent

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