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Intern Data Science Insurance Jobs in Moorestown, NJ

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Life insurance coverage * Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers University-Camden seeks new lecturers for Spring 2026 and/or Summer 2026 semester ...

Munich Re

Data Scientist

Philadelphia, PA · On-site +1

... 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 ...

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Life insurance coverage * Employee discount programs Posting Summary Rutgers University-Camden, the Faculty of Arts & Sciences, Department of Data Science, seeks new lecturers to teach various topics ...

KPMG

Data Science Senior Associate

Philadelphia, PA

Experience with data science, machine learning methods, and LLM-based solutions and products ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Moorestown, NJ

Intern Data Science Insurance information

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$41

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

As of Sep 7, 2026, the average hourly pay for intern data science insurance in Moorestown, NJ is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 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 types of projects can an intern 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 are the key skills and qualifications needed to thrive as an intern data science 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 job categories do people searching Intern Data Science Insurance jobs in Moorestown, NJ look for?

The top searched job categories for Intern Data Science Insurance jobs in Moorestown, NJ are:

What cities near Moorestown, NJ are hiring for Intern Data Science Insurance jobs?

Cities near Moorestown, NJ with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Moorestown, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,153 per year, or $22.2 per hour.

Senior Principal Scientist, Data Science RWE

Johnson & Johnson

Spring House, PA • Hybrid

Full-time

Retirement, PTO

Re-posted 22 days ago

Key responsibilities

  • Lead a portfolio of RWE projects, develop best practices, and mentor team members.

  • Identify technical requirements for RWE projects and develop tools to enable data scientists to accelerate project delivery.

  • Design and execute RWE studies, including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

  • Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoringteam members.

  • Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.

  • End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

  • Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.

  • Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

  • Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Required qualifications:

  • A Ph.D. degree in epidemiology or biostatistics

  • Expert coding skills using R, Python, or SAS

  • At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries

  • Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases

  • Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure

  • Excellent interpersonal, communication and presentation skills

Preferred qualifications:

  • Familiarity with drug discovery and the clinical development process

  • Subject matter knowledge in oncology, Immunology or Neuroscience

  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR1

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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