1

Intern Data Science Insurance Jobs in Georgia (NOW HIRING)

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

You will report to the Data Science Leader in Honeywell Connected Enterprise. Honeywell helps ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

You will report to the Data Science Leader in Honeywell Connected Enterprise. Honeywell helps ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

You will report to the Data Science Leader in Honeywell Connected Enterprise. Qualifications YOU ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

AIG is a leading global insurance organization providing innovative solutions in Generative AI. As a Data Scientist, you will play a critical role in developing and delivering enterprise-level ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Showing results 41-60

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 Georgia?

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

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

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

Data Scientist I (DSAP)

RELX Group plc

Alpharetta, GA • On-site

$59K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance
About our Team:
The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders. The team is responsible for new product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implement new solutions for the insurance and OEM markets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.
About the Role
We are seeking a highly motivated data scientist to join the Data Science Accelerator Program (DSAP) that provides broad learning opportunities across the Data Science organization within the LexisNexis Insurance Division. Successful candidates will holistically learn our business during this two-year program while rotating through a series of Analytical product development related assignments and projects. The role will be Hybrid located at our headquarters in Alpharetta, GA and may include some travel.
Responsibilities:
  • Assist with assembling, cleaning, and organizing large datasets to prepare them for analysis.
  • Support team members in merging and parsing data to uncover trends and patterns.
  • Learn to apply statistical and machine learning techniques under the guidance of senior data scientists.
  • Help document model code, track results, and contribute to validating predictive models.
  • Assist in creating attributes and rules from raw data to support analytic projects.
  • Contribute to data visualization efforts to communicate findings.
  • Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs.
  • Document work clearly and practice presenting results in a team setting.

Requirements:
  • Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business.
  • Coursework or project experience in Python or R; familiarity with SQL is a plus
  • Interest in data analysis, predictive modeling, and machine learning.
  • Exposure to data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) is desirable.
  • Strong problem-solving skills with a willingness to learn and adapt.
  • Ability to communicate ideas clearly and work collaboratively with others

Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Learn more about the LexisNexis Risk team and how we work here.
U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.