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Remote Data Science Insurance Jobs in Philadelphia, PA

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Drive adoption of best practices in data science, MLOps, and model governance. Technical Oversight

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Drive adoption of best practices in data science, MLOps, and model governance. Technical Oversight

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

AstraZeneca

Clinical Research Associate

Wilmington, DE · On-site +1

Plan and conduct remote and onsite monitoring visits per the Monitoring Plan; perform source data ... Bachelor's degree in related discipline, preferably in life science, and ensures successful conduct ...

Ennoble Care

Sr. Medical Economics Analyst

Marlton, NJ · Remote

$120K - $140K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business Administration or ... Fully Remote (with up to 10% travel) Salary Range: $120,000- $140,000 This position requires the ...

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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:

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For Remote Data Science Insurance jobs in Philadelphia, PA, the most frequently searched job titles are:

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Remote Data Science Insurance jobs near you
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.

A.I. Manager

GATE 1 LTD

PA • On-site, Remote

Other

Re-posted 25 days ago

Job description

About the Company
We are a forward-thinking company committed to leveraging innovation to drive business growth and operational excellence. As part of our continued investment in technology, we are building an in-house AI department to lead the design, development, and deployment of AI-driven solutions across key areas of our business.
Why Join Us
  • Be a founding leader in shaping our AI capabilities and strategy.
  • Work remotely with flexibility and autonomy.
  • Join a collaborative, innovative, and mission-driven team.
  • Competitive compensation, benefits, and growth opportunities.

Job Summary
We are seeking an experienced and visionary AI Manager to lead the formation and development of our in-house AI team. This is a foundational leadership role responsible for designing the AI strategy, building a high-performing team, and overseeing the delivery of impactful AI solutions that align with our business objectives. You will work cross-functionally with business stakeholders, engineers, analysts, and product managers to identify opportunities where AI can create value, and then lead the implementation of those solutions from concept to production.
Key Responsibilities
Strategy & Leadership
  • Define and execute the AI roadmap in alignment with business goals.
  • Serve as the company's internal expert on AI trends, opportunities, and risks.
  • Build and lead a remote AI team, including recruiting, mentoring, and performance management.
  • Collaborate with leadership to identify high-impact AI use cases across departments.

Project Management & Delivery
  • Oversee the development and deployment of AI models and tools.
  • Ensure AI projects are delivered on time, within scope, and meet quality standards.
  • Drive adoption of best practices in data science, MLOps, and model governance.

Technical Oversight
  • Guide model development, including machine learning, deep learning, NLP, and generative AI, depending on use cases.
  • Ensure scalable and maintainable AI systems and pipelines.
  • Partner with data engineering teams to ensure data quality, availability, and security.

Cross-Functional Collaboration
  • Communicate complex AI concepts clearly to non-technical stakeholders.
  • Translate business problems into data-driven solutions.
  • Advocate for ethical AI practices and responsible data use across the organization.

Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in applied AI, machine learning, or data science roles.
  • 2+ years of experience in a leadership or managerial capacity.
  • Proven experience delivering AI/ML solutions in a business environment.
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
  • Experience working in agile, cross-functional teams.

Preferred
  • Experience in building and scaling internal AI functions from the ground up.
  • Familiarity with LLMs, generative AI, and prompt engineering.
  • Exposure to AI use cases across multiple domains (e.g., marketing, operations, customer support).
  • Excellent communication, presentation, and stakeholder management skills.

Apply