Intelligent Document Processing (Data Scientist)

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.

Qualifications

• 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 technologies is a plus.
• Strong Python or equivalent software
• Strong SQL skills

Additional Information

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