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Internship Data Scientist Risk Jobs in Raleigh, NC

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics Preferred Qualifications: * Master's degree in Data Science, Computer Science, Statistics ...

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Help shape how healthcare risk decisions are made. At The Cigna Group, pricing and underwriting ... As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ...

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or ... Internships at ABB within the United States are not eligible for company-sponsored medical benefits ...

Preferred Qualifications: 1. Advanced degree in a related field (e.g., Computer Science, Data Science, Risk Management). 2. Familiarity with financial services technology-related laws, rules ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

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Internship Data Scientist Risk information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do internship data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for internship data scientist risk in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What does an Internship Data Scientist Risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist in risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.
What are the most commonly searched types of Data Scientist Risk jobs in Raleigh, NC? The most popular types of Data Scientist Risk jobs in Raleigh, NC are:
Associate Data Scientist

Associate Data Scientist

Labcorp

Durham, NC • Hybrid

$57K - $57K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,121 frontline employees who took The Breakroom Quiz

81st of 105 rated laboratories


Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.


Labcorp is recruiting an Associate Data Scientist.

About the Role

At Labcorp, we believe data is the key to advancing healthcare and improving patient outcomes worldwide. As an Associate Data Scientist, you will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. This is an exciting opportunity for an early-career data scientist who is eager to learn, grow, and make an immediate impact on real-world healthcare challenges.

Work Schedule:This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard business hours from Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone.Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Durham or Burlington, supporting both collaboration and flexibility.

Job Responsibilities:
  • Collect, clean, and analyze large and complex healthcare and operational datasets.

  • Build, test, and deploy statistical and machine learning models to support business and scientific initiatives.

  • Work closely with cross-functional teams - including IT, clinical, operations, and business leaders - to translate data into actionable insights.

  • Support the development of data pipelines and workflows that ensure scalable and reproducible analytics.

  • Contribute to data visualization and reporting dashboards for internal and external stakeholders.

  • Document methodologies, analyses, and model results to ensure transparency and reproducibility.

  • Stay current with new tools, technologies, and best practices in data science and healthcare analytics.

Minimum Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL

  • 6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch

  • 6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn

  • 6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Preferred Qualifications:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 12 months or more combined experience across two or more of the following: Python, R, or SQL

  • 3 months or more experience working with healthcare, laboratory, or clinical trial data

  • 3 months or more experience working with a cloud platform such as AWS, Azure, or GCP

  • 3 months or more prior experience at Labcorp

Additional Job Standards:

  • Strong problem-solving skills and intellectual curiosity

  • Desire and willingness to learn new tools and techniques

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders

Why Join Us

At Labcorp, you'll be part of a global team that is transforming healthcare through innovation and science. As an Associate Data Scientist, you'll gain hands-on experience, mentorship, and the opportunity to contribute to impactful projects that improve lives around the world.

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



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