Data Science Rotational Program (HYBRID)

Posted:
8/21/2024, 5:00:00 PM

Location(s):
Georgia, United States ⋅ Alpharetta, Georgia, United States

Experience Level(s):
Junior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

Data Science Rotational Program- Data Scientist II

Do you enjoy being part of team that is driving innovation?

Are you creatively minded yet data and insight-driven?

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 (DSRP) 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.

About the role

Potential assignments include but are not limited to these analytical teams: data wrangling, attribute creation, model development, solution implementation and quality assurance. 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 program will be located at our headquarters in Alpharetta, GA and may include some travel.

Additional highlights of this rotational program include interaction with key leaders of the organization, high visibility assignments that directly support the business, and exposure to foundational development opportunities.

Program participants will receive targeted training designed to not only enhance technical skills but also develop core competencies (i.e. Teamwork, Problem-solving, Communication, Influence, and Business-partnering) to help them be successful in the organization long-term.

You will be responsible for:

  • 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

Qualifications

  • Have MS in Math, Stats, Comp Sci, or other quantitative/applied math field
  • Have Programming skills: Python or R strong preferred, experience with imperative programming languages, such as Java, and SQL
  • Have Experience with Cloud technologies (Azure Databricks, AWS Sagemaker, GCP), Data visualization a plus
  • Have business understanding, problem solving skills and communications skills
  • Have ability to commute to Alpharetta, GA office on a hybrid basis.

Learn more about the LexisNexis Risk team and how we work here

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    At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

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