Data Scientist II, RELX, GA, US

Job Description

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

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 NoSQL 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
  • Pulls data, cleans data, builds and maintains existing models
  • Participates 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

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
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