Are you a Data Scientist that understands best practices and processes and are able to execute them independently?

About 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 the role: As a Data Scientist you will develop and analyze models and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies.  Additionally, you will analyze organizational data to recommend solutions to new and complex problems.

About our Team: The analytics team is responsible for new product innovation, model development, and creating actionable insights for our customers.  We work closely with the Vertical and Product teams to design and implement new solutions in the insurance market.  By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.

 You will be responsible for:

• Researching and developing statistical/machine learning models to analyze structured and unstructured data by ideating and experimenting with new methodologies to generate predictive scores and attributes.
• Leading the design and development of data acquisition and machine learning models to produce key attributes that can leverage in risk segmentation models.
• Ideating, researching, and designing new and innovative analytics and data science methodologies on large scale and complex data assets.
• Storing, archiving, indexing, transferring, and analyzing large and complex datasets (structured and unstructured data).
• Working with peers to share subject matter expertise, transfer skills, and develop knowledge base.
• Exploring and mining new data sources to help optimize and validate existing models.
• Having a thorough understanding of the team's core functions and technologies.
• Staying current on emerging knowledge and technologies that impact the team's success and performance.

Qualifications:

• Able to build or test new processes with senior guidance.
• Domain expert in Data Science and/or Statistical Analysis able to build advanced models and roll into production.
• Able to scope out and execute new statistical steps with support/approval from senior contacts.
• Possess the ability to independently create typical data steps to prepare and process data for analysis.
• Ability to work across coding languages used in Data Science (e.g. Python, SQL, R, Java, and C++)

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

Posting start date: 5/28/2025. We anticipate this posting will be posted for 30 days.

Position is eligible for a base salary plus an annual bonus.