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Data Scientist II

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Lexis Nexis
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 70200 - 117100 USD Yearly USD 70200.00 117100.00 YEAR
Job Description & How to Apply Below

About the Business

Lexis Nexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, 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.

About our Team

Our team conducts ad-hoc analyses for internal and external customers using complex data assets, analyzes customer trends and market shifts to support senior leadership decisions, and defines, standardizes, and maintains metric calculations for communications.

About the Role

As a Data Scientist, you will be responsible for extracting knowledge and insights from high-volume, high-dimensional data to investigate complex business problems. You will utilize a range of data preparation, modeling, analysis, and visualization techniques, including statistical analysis, predictive modeling, and pattern recognition. Your work will typically involve using existing data platforms and tools such as ERP/CRM systems, relational or No

SQL databases, and data analysis and visualization software. Additionally, you may develop your own scripts and visualizations using object-oriented programming to enhance data insights and solutions.

Responsibilities
  • Primarily provide support to more senior Data Scientists
  • Pull data, clean data, build and maintain existing models
  • Participate in result presentation to internal stakeholders
Requirements
  • Bachelor’s degree in a quantitative field such as Statistics, Applied Math, Computer Science or a related quantitative field
  • Proven work experience in Data, Analytics, or Insurance OR Master’s degree in Actuarial Science, Statistics, or Data Science.
  • Working knowledge of standard data languages (e.g. Python, R, etc.)
  • Basic understanding of best practices in data integrity and manipulation.
  • Experience in cloud environment a plus.
  • Willingness to learn new technical skills and industry domain knowledge.
  • Have a desire to help solve complex problems.
Working for you
  • 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

U.S. National Base Pay Range: $70,200 - $117,100. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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

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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.

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