LexisNexis Risk Solutions

2 days ago

Data Scientist I (DSAP)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the Data Science Accelerator Program (DSAP) within the Insurance Analytics team, where you’ll rotate through analytical product development assignments over a two-year learning journey. You’ll help assemble and prepare datasets, support merging and parsing work, and assist with building predictive models and documenting results. Collaborate with Data Science, Product, and Vertical teams to create attributes/rules, communicate insights via data visualization, and help respond to client questions.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Assemble, clean, and organize large datasets to prepare them for analysis.
•Merge and parse data to uncover trends and patterns.
•Learn and apply statistical and machine learning techniques with guidance from senior data scientists.
•Document model code and results, and contribute to validating predictive models.
•Create attributes and rules from raw data; support data visualization and present findings; assist with client inquiry responses.

Travel: Low travel

Pay and Benefits

Salary: USD 59,200 - 98,600 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityPaid Leave

Key Requirements

•Bachelor’s degree in data science/analytics, Computer Science, Mathematics, or related fields such as Engineering, Economics, or Business.
•Coursework or project experience with Python or R, with familiarity with SQL.
•Interest in data analysis, predictive modeling, and machine learning.
•Experience with or exposure to data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
•Strong problem-solving skills plus clear communication and collaborative work habits.

Education:Bachelor's in Data science/analytics

Skills:Problem-solvingCommunicationCollaborationWillingness to learn

Tech Stack:PythonRSQLTableauPower BIMatplotlibSeaborn

Company Brief

LexisNexis Risk Solutions

Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

LexisNexis Risk Solutions

2 days ago

Data Scientist I (DSAP)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Assemble, clean, and organize large datasets to prepare them for analysis.
•Merge and parse data to uncover trends and patterns.
•Learn and apply statistical and machine learning techniques with guidance from senior data scientists.
•Document model code and results, and contribute to validating predictive models.
•Create attributes and rules from raw data; support data visualization and present findings; assist with client inquiry responses.

Travel: Low travel

Pay and Benefits

Salary: USD 59,200 - 98,600 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityPaid Leave

Key Requirements

•Bachelor’s degree in data science/analytics, Computer Science, Mathematics, or related fields such as Engineering, Economics, or Business.
•Coursework or project experience with Python or R, with familiarity with SQL.
•Interest in data analysis, predictive modeling, and machine learning.
•Experience with or exposure to data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
•Strong problem-solving skills plus clear communication and collaborative work habits.

Education:Bachelor's in Data science/analytics

Skills:Problem-solvingCommunicationCollaborationWillingness to learn

Tech Stack:PythonRSQLTableauPower BIMatplotlibSeaborn

Company Brief

LexisNexis Risk Solutions

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn