1

Intern Data Science Insurance Jobs in Virginia (NOW HIRING)

A minimum of three years of technical data science experience; U.S. Federal government consulting ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy * Flexible work ...

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy  * Flexible work ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy  * Flexible work ...

... data science framing activities, including but not limited to working with partners to identify ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

AI/ML Data Scientist

Arlington, VA · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

AI/ML Data Scientist

Arlington, VA · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

next page

Showing results 1-20

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 are the key skills and qualifications needed to thrive as an Intern Data Science in 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 in 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 most commonly searched types of Data Science Insurance jobs in Virginia? The most popular types of Data Science Insurance jobs in Virginia are:
What job categories do people searching Intern Data Science Insurance jobs in Virginia look for? The top searched job categories for Intern Data Science Insurance jobs in Virginia are:
What cities in Virginia are hiring for Intern Data Science Insurance jobs? Cities in Virginia with the most Intern Data Science Insurance job openings:
Infographic showing various Intern Data Science Insurance job openings in Virginia as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.
Senior Specialist, Federal Data Science

Senior Specialist, Federal Data Science

KPMG

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.
Responsibilities:
  • Collaborate multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
  • Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
  • Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data
  • Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
  • Perform explanatory data analysis, generate / test working hypotheses, prepare / analyze historical data, and identify data patterns
  • Perform machine learning, natural language, and statistical analysis methods
  • Contribute to developing dashboards, UI and interactive tools to support clients turn their data into actionable insights / reproducible reports

Qualifications:
  • A minimum of three years of technical data science experience; U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Proficiency with programming languages such as Python, R, Java, SQL, and their open-source packages / libraries
  • Experience in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (e.g. - object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
  • Familiarity with big data open-source tools (e.g. - Spark, Hadoop, Kafka, etc.) and open-source web frameworks / UI Platforms (e.g. - Flask, Shiny, Django, Dash)
  • Experience leveraging cloud services in technical data environments
  • Ability to travel as required to support firm engagements
  • Applicant must possess a U.S. Government Secret clearance

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_4_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.