Data Scientist I (DSAP)

RELX • Alpharetta, GA

2d • Hybrid

About The Position

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. 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. 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.

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

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level