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Intern Data Science Insurance Jobs in Somerville, NJ

Data Scientist

New York, NY ยท On-site

$140K - $160K/yr

We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added ... Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ...

Machine Learning Intern

Livingston, NJ ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Machine Learning Intern

New York, NY ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Data Scientist II

New York, NY ยท Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

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 ...

Senior Data Scientist

New York, NY ยท On-site

$126K - $199K/yr

Master's degree or foreign equivalent in Operations Research, Data Science, or related field ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

Data Scientist

New York, NY ยท 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 ...

Showing results 41-60

Intern Data Science Insurance information

See Somerville, NJ salary details

$12

$23

$43

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 Somerville, NJ is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $25.10 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 Somerville, NJ look for?

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

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

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

Infographic showing various Intern Data Science Insurance job openings in Somerville, NJ as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 32% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $47,938 per year, or $23 per hour.

Data Science & Engineering Manager (2262)

Stone Alliance Group Career Page

New York, NY โ€ข Hybrid

$185K - $225K/yr

Full-time

Medical, Retirement

Re-posted yesterday


Job description

Our client is seeking an Data Science and Engineering Manager to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City.

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to the Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals.

This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: Our client is not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming.

Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Responsibilities:

  • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization.
  • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution.
  • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication.
  • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team.
  • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget.
  • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility.
  • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data.

 

Qualifications:

  • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.
  • 8+ years experience in technical project management for software development, data science, or AI/ML research projects.
  • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts.
  • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban).
  • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).
  • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
  • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities.

 

Special Considerations:

The anticipated salary range for this position is $185,000 - $225,000 USD annually.

Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs.

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.