- 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.
- 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
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Intelligent Document Processing Engineer - Quezon City, Pilipinas - Eclaro
Paglalarawan
Job Tasks/Responsibilities:Mandatory/Primary Skills:Desired Skills/ Experience:
BS in Computer Science, Information Technology degree, Data Analytics or equivalent