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Remote Data Science Insurance Jobs in Philadelphia, PA

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... insurance, long-term and short-term disability, tuition remission and tuition exchange ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

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Remote Data Science Insurance information

How is data science used in the insurance industry?

In remote data science insurance roles, data science is used to analyze large datasets to assess risk, set premiums, detect fraud, and improve customer segmentation. Skills in statistical modeling, machine learning, and data visualization tools are essential for developing predictive models that enhance decision-making and operational efficiency.

What are the most commonly searched types of Data Science Insurance jobs in Philadelphia, PA?

The most popular types of Data Science Insurance jobs in Philadelphia, PA are:

Infographic showing various Remote Data Science Insurance job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$100 - $200/hr

Part-time

Posted 28 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.