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 computing platforms such as Azure, AWS or GCP
Strong Python or equivalent software
Strong SQL skills
Additional Information
BS in Computer Science, Information Technology degree, Data Analytics or equivalent