Internship Downstream Process Development Scientist Jobs in Decatur, GA

Would you like to apply actuarial science andstatistical modeling to buildpredictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale?

Aboutthe Business

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 andindustry specificcontent with advanced technology and analytics toassistthem 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 Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions throughcutting-edgedata science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders.The teamis responsible fornew product innovation, model development, and creating actionable insights for our customers.We work closely with the Vertical and Product teams to design and implementnew solutionsforthe insuranceand OEMmarkets.By harnessing the power of data, our analytics team empowers insurers to make informed decisions,optimizerisk segmentation, and enhance underwriting strategies,ultimately drivingsuccess in an ever-evolving insurance landscape.

About the Role

Are you an actuarial professional who wants to build models that influence underwriting, risk segmentation, and decision-making across the insurance industry,without being confined to traditional rate-making roles?

We are seeking aSenior DataScientist Iwith a strong actuarial foundation to join our Insurance Analytics team, focused on thecommercial insurance market. In this role, you will design and develop predictive models that are embedded in carrier workflows and used to inform underwriting decisions, segmentation strategies, and downstream pricing models.

Unlike traditional actuarial roles, you will focus on buildingexternal-facing risk models and attributesthat insurers integrate into their pricing and underwriting frameworks. This is an ideal opportunity for someone with actuarial training who enjoys applying statistical modeling and analytical thinking to broader insurance problems at scale.

Responsibilities:

• Developingpredictive risk models and attributesused by insurers in underwriting, segmentation, and decisioning workflows

• Applyingactuarial principles and statistical modeling techniquesto assess risk and improve model performance

• Designingand implementingmodels that are integrated intocarrier underwriting processes and downstream pricing frameworks

• Translatingcomplex analytical outputs intoclear, defensible insights for business and product stakeholders

• Partner with Product and Vertical teams to solveinsurance-specific problems related to risk evaluation and segmentation

• Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance.

• Applying best practices for data validation, testing, and model performance monitoring.

• Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture.

• Maintaining a strong understanding of team tools, technologies, and evolving industry trends.

• Communicating progress, insights, and outcomes clearly to stakeholders.

• Supporting team excellence by upholdinghigh standardsof quality, accountability, and execution.

Requirements:

• Minimum undergraduate degree in relevant field and 4+ years of relevant work experience

• Or a master's degree in a relevant field and 2+ years of relevant work experience.

• Or a PhD in a relevant field.

• Strong actuarial foundation, including experience applying actuarial concepts to insurance risk, underwriting, or segmentation problems

• Progress towardactuarial credentials (ASA or equivalent)strongly preferred

• Strongexpertisein Python. Coding skills in R, SQL, ECLare a plus.

• Experience developing or supportingrisk segmentation models(e.g., GLMs) in an insurance contextand inDepartmentof Insurance filings.

• Experience translating actuarial models into production-ready analytical solutions.

• Strong foundationin statistical and mathematical modeling, including model assumptions, diagnostics, and interpretability.This includes linear andnon linearmodels along with ML techniques.

• Extensive programming skills in Python and/or Rfor statistical modeling and data analysis

• Strong ability as a self-starter to learnnew technologiesand to share cross-functional knowledge across the teamsniceto have.

Technical/Professional Experience

• Able to build or test new processes with senior guidance. Domain expert in Data Science, ActuarialScienceand/or Statistical Analysis to build advanced models and roll into production.

• Scopes and execute analytical approaches for moderately complex problems, seeking input where needed.

• Supports, maintains, and enhances existing models (e.g., GLM and tree-based methods).

• Applies statistical, mathematical, predictive modeling and analytical techniques to work with large, complex datasets from diverse sources.

Data Skills

• Independently prepares, cleans, and transforms data for analysis and modeling.

• Applies a range of data processing techniques and explores new methods to improve data quality and usability.

Project Management Skills

• Owns and delivers components of projects independently, including planning and execution of key tasks.

• Contributes to larger, more complex projects by executing defined workstreams and meeting timelines.

Domain/Industry Skills

• Experience working withinsurance data, risk modeling, or underwriting-related problems

• Understanding of how predictive models are used withincarrier underwriting and pricing workflows

• Familiarity with regulatory or model governance considerations is a plus

Behavioral Competencies

• Takes initiative and ownership of work, proactively addressing challenges and identifying opportunities for improvement.

• Collaborateseffectively with teammates, supporting a positive and accountable team environment.

• Balances innovation with practical business needs and team priorities

• Demonstrates accountability, follows through on commitments, andmaintainshigh standardsof work.

• Shows willingness to stretch beyond core responsibilities and support team success.

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, 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,adoptionand surrogacy benefits

• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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 Formor please contact 1-855-833-5120.

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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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