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. risk.lexisnexis.com 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 .

Requirements

Must-haves

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.
Hold a bachelor’s in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business.
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
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:
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
Learn more about the LexisNexis Risk team and how we work here .
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 .
EEO Know Your Rights .

Nice-to-haves

Coursework or project experience in Python or R; familiarity with SQL is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness