About the Business:

LexisNexis 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. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance

About our Team: The Data Science Rotation Program provides broad learning opportunities across the Data Science organization of 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. Once complete, a permanent team will be assigned to the Data Scientist. Potential assignments include but are not limited to these analytical teams: data wrangling, attribute creation, model development, solution implementation and quality assurance.

About the Role:

Candidates will be exposed to the full lifecycle of an Insurance policy including customer acquisition and retention, point of contact, underwriting, pricing, compliance and claims. Candidates will work with solutions across the Auto, Home, Life and Commercial insurance markets. The role will be Hybrid located at our headquarters in Alpharetta, GA and may include some travel.

Responsibilities:

• Assembling, cleaning, merging, and parsing Big Data files to detect meaningful trends and predictive pattern

• Conducting analysis in support of existing and new product development, and/or customer sales

• Developing predictive solutions (with direction), documents model code, and work with internal or external stakeholders to validate predictive value of data driven solutions

• Developing attributes, filtering rationale and rules from raw data sources to support multiple machine learning approaches

• Providing support for client inquiries regarding score calculations, model performance or other analytic output

• Understanding and following analytic plans by identifying and executing the appropriate analytical technique

• Documenting clearly and communicating analytic work and/ or results

Requirements:

• Hold a MS level education in Data Science, Math, Stats, Comp Sci, or other quantitative/applied math field.

• Have experience in programming: exceptional Python or R abilities, experience with
  imperative programming languages, such as Java and SQL, data visualization is ideal.

• Have problem solving and communication skills

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.

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