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Intern Data Science Insurance Jobs in Baltimore, MD

This role involves leveraging your computer science expertise to develop and sustain analytics ... Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options * Group Term Life ...

Senior Data Science Engineer

Laurel, MD · Remote

$180K - $220K/yr

We are seeking a highly experienced Senior Data Science Engineer to support the development of ... insurance and a 401(k) plan with company contribution. The total rewards packages includes paid ...

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from ... Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options * Group Term Life ...

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from ... Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options * Group Term Life ...

Data Scientist

Annapolis Junction, MD · On-site

$100K - $280K/yr

Research and stay updated on the latest advancements in data science and machine learning ... Health Insurance through Blue Cross Blue Shield * Dental, vision, long-term & short-term disability ...

Data Scientist Level 3

Annapolis, MD · On-site

$109K - $149K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Data Scientist Level 2

Annapolis, MD · On-site

$85K - $116K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Data Scientist Level 4

Annapolis, MD · On-site

$140K - $192K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

The ideal candidate is innovative, highly skilled in data science methodologies, and adept at ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

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Intern Data Science Insurance information

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How much do intern data science insurance jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for intern data science insurance in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What does an Intern Data Science Insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What are the key skills and qualifications needed to thrive as an Intern Data Science in Insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What types of projects can an Intern in Data Science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.
What job categories do people searching Intern Data Science Insurance jobs in Baltimore, MD look for? The top searched job categories for Intern Data Science Insurance jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Intern Data Science Insurance jobs? Cities near Baltimore, MD with the most Intern Data Science Insurance job openings:
2026 Technology and Data Internship - T. Rowe Price

2026 Technology and Data Internship - T. Rowe Price

T Rowe Price

Baltimore, MD • Hybrid

Other

Re-posted 8 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary

The T. Rowe Price internship program includesa formalorientation, peer and senior mentor assignments, and formal learning opportunities. In addition to the work assignments within the assigned department, interns also gain exposure to associates and senior leaders across the firm through an executive speaker series, networking and social events, and engagement with our Business Resource Groups.

T. Rowe Price is seeking a motivated and detail-oriented Technology and Data Intern to join our team for the summer.The intern will work alongside technology and data professionals to support projects focused on data analysis, software development, process automation, and the adoption ofcutting-edgeAI tools. This is an excellent opportunity to gain hands-on experience in financial technology while contributing to real-world business solutions.

Responsibilities

You will be placed within a specific department within Global Technology.As aTechnology and Data Internyou will:

  • Collaborate with technology and data teams to analyze business needs and design data-driven solutions.
  • Assistin the development, testing, and deployment of software applications and automation scripts.
  • Support data collection, cleaning, and visualization efforts using tools like Python, SQL, and Power BI.
  • Utilize AI tools (such as large language models, generative AI platforms, and machine learning algorithms) to enhance data analysis, reporting, and workflow automation.
  • Document technical processes and create user guides for newly developed solutions.
  • Participate in team meetings, brainstorming sessions, and cross-functional projects related to technology and data.
  • Stay current with emerging technologies, trends in AI, and best practices in data management.

Areas of Interest:

  • Software Engineering (Java, JavaScript, Python, SQL, Git, CI/CD, Docker)
  • Mobile Application Development (iOS/Swift, Android/Java, AppleTestflight, Google Firebase)
  • Cloud Computing (Amazon Web Services: Development and Operations, Systems Administration, App Support)
  • Operating Systems (Linux)
  • Machine learning

Qualifications

Required:

  • Full time student pursing a bachelor's degree with an expected graduation date of December 2026- May/June 2028.
  • Major: Computer Science, Computer Engineering, Mathematics, Engineering, Physics, or Data Science
  • Familiarity with programming languages (Python, Java, etc.) and data analysis tools.
  • Interestin AI technologies and experience using AI platforms (such as ChatGPT, Microsoft Copilot, or similar).
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and in a collaborative team environment.
  • Eagerness to learnnew technologiesand contribute to innovative solutions

Preferred:

  • Cumulative grade point average of at least 3.0 on a 4.0 scale
  • Actively seeks feedback and mentorshipin order toimprove technical skills (e.g., throughsubmittingwork for code or model review)
  • A commitment to continuous learning and development
  • Enthusiasm for learning & results oriented

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TNvisaor any other non-immigrant work status)


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