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Intern Data Science Insurance Jobs in High Bridge, NJ

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

Data science is the engine that drives informed decision-making and unlocks the hidden potential ... life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet ...

Tyndale

Project Manager, AI and Data Science

Pipersville, PA · Hybrid

$52.75 - $71.25/hr

Overview Tyndale is scaling its AI and Data Science capabilities to improve safety, customer ... Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave.

Beghou Consulting

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Beghou brings over three decades of experience helping life sciences companies optimize their ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

Beghou Consulting

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Beghou brings over three decades of experience helping life sciences companies optimize their ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in High Bridge, NJ

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$12

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

As of Aug 12, 2026, the average hourly pay for intern data science insurance in High Bridge, NJ is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $25.48 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 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 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 cities near High Bridge, NJ are hiring for Intern Data Science Insurance jobs? Cities near High Bridge, 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 High Bridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,625 per year, or $23.4 per hour.

Principal Data Science Engineer

Verizon

Basking Ridge, NJ • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Verizon rating

7.8

Company rating: 7.8 out of 10

Based on 522 frontline employees who took The Breakroom Quiz

36th of 97 rated telecommunications companies

Job description

When you join Verizon
You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you'll be doing...
Data science is the engine that drives informed decision-making and unlocks the hidden potential within our enterprise data. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.
You will use data and innovation as fuel to propel Verizon beyond the competition. You will architect products and assets that support the Consumer Sales Organization, Sales Planning & Operations, and Consumer Base Marketing by developing and performing complex analyses using big data technologies.
  • Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
  • Design and refine predictive models to solve complex business questions and improve operational predictability.
  • Extract actionable insights from massive datasets to drive revenue and customer retention
  • Guide peers through system usage assessments.
  • Lead process improvement initiatives and ensure rigorous data quality standards.
  • Apply sophisticated UI/UX design principles to data visualization.
  • Stay at the forefront of modeling techniques and emerging industry trends to keep Verizon's analytics ecosystem "ahead of the game.

What we're looking for...
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria, allows you to deliver solutions that make a huge impact. You're able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.
You'll need to have:
  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience in data management, analysis and visualization.
  • Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
  • Experience with data modeling using LookML in the Looker platform.
  • Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro)
  • Experience as a data scientist, analyst, or statistical modeler.
  • Experience with the programming language SQL.
  • Experience in designing, developing and implementing ETL processes.

Even better if you have one or more of the following:
  • A master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
  • Hands-on experience leveraging Claude to streamline daily technical work
  • Experience designing, building, and deploying production-grade agentic AI solutions.
  • Experience using React to build responsive, dynamic data dashboards
  • Demonstrated knowledge of Retail Channel metrics and data domain principles.
  • Experience in visual science/dashboard design principles.
  • Experience in applying statistical ideas and methods to data sets to answer business problems.
  • Experience with programming languages, like Python, JS, or R.
  • Experience with Machine Learning algorithms and tools

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

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