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Intern Data Science Insurance Jobs in New Jersey

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

$60 - $80/hr

Familiarity with Azure cloud platform and experience using Azure services to support data science ... As a Data Scientist Intern at Concord Advice, you will: * Thrive in an unstructured environment and ...

Crowe LLP

Machine Learning Intern

Livingston, NJ · 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.

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes ...

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes ...

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Intern Data Science Insurance information

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 are the most commonly searched types of Data Science Insurance jobs in New Jersey?

The most popular types of Data Science Insurance jobs in New Jersey are:

What are popular job titles related to Intern Data Science Insurance jobs in New Jersey?

For Intern Data Science Insurance jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Insurance jobs in New Jersey look for?

The top searched job categories for Intern Data Science Insurance jobs in New Jersey are:

What cities in New Jersey are hiring for Intern Data Science Insurance jobs?

Cities in New Jersey with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you

Advanced Data Science Associate - Intern (North America - University Students)

ZS

Princeton, NJ • On-site

$6.0K/mo

Full-time, Internship

Posted 7 days ago

Key responsibilities

  • Design, develop, and execute high-impact analytics solutions for large, complex data sets.

  • Execute statistical and data mining techniques on large data sets to identify trends and relevant information.

  • Collaborate with clients and stakeholders to communicate analysis findings.

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
ADVANCED DATA SCIENCE ASSOCIATE - INTERN
Advanced Data Science Associates (ADSAs) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. At the end of the internship, interns are evaluated and considered for a full-time employment offer.
What You'll Do
  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
  • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings.
  • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform.

What You'll Bring
  • A master's degree in computer science or statistics (in-progress), and strong academic performance with analytic and quantitative coursework is required.
  • Knowledge of key AI-ML techniques/algorithms/advanced analytics concepts (E.g. Predictive modelling, text mining, recommender systems, social listening, Graph-based-models)
  • Knowledge of Deep Learning and AI Technologies (e.g. LLMs, Gen AI, Deep Learning and Transformers)
  • Familiarity with statistical methods (e.g. Bayesian Learning methods, Causal Modeling) and big data (e.g. PySpark)
  • Proficiency in data manipulation/data wrangling using industry standard tools (e.g SQL, Python-Pandas)
  • Excellent oral and written communication skills (fluency in English).
  • Strong attention to detail, with a research-focused mindset.
  • Excellent critical thinking and problem solving skills.
  • High motivation, good work ethic and maturity.

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
ZS logo

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983

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