Data Scientist III

RELX

Data Scientist developing predictive models for fraud and credit risk at LexisNexis Risk Solutions. Collaborating with teams to provide statistical analysis and innovative solutions.

Posted 5/13/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesMid-LevelSenior💰 $78,800 - $131,300 per yearWebsite

Tech Stack

Tools & technologies

JavaPythonScala

About the role

Key responsibilities & impact

Understand and execute analytic plans with the appropriate statistical or modeling technique.
Conduct analyses supporting existing and new product development or customer sales opportunities.
Assemble, merge and parse large amounts of data to detect meaningful trends and patterns.
Explore opportunities to enhance existing products with new features or new data sources.
Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code.
Interpret, document, and communicate analytic work to non-technical audiences.
Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions.
Collaborate with cross-functional peers to define product and data science strategies.
Provide support to other data scientists across the organization.
Critical reviews of data experiments to ensure accuracy, completeness, and feasibility.

Requirements

What you’ll need

Bachelor’s degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience.
At least two years of experience building predictive models using machine learning and conducting data analysis using R, Python or similar software packages.
At least two years of experience with mainstream programming languages, such as Java, R, Python, or Scala, in a collaborative environment using software development best practices such as version control and testing.
Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques.
High degree of creative, analytical and problem-solving skills.
Ability to learn quickly.
Ability to work effectively both independently and collaboratively.
Ability to communicate complex technical or statistical concepts to a non-technical audience.
Ability to apply modern data exploration and visualization techniques to deliver actionable insights.
Willingness to adapt to new techniques and an innovative attitude towards finding solutions.
Fluency with presentation and document programs such as PowerPoint, Word, Excel.

Benefits

Comp & perks

Eligible for an annual incentive bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpredictive modelingdata analysisstatistical methodsdata science frameworksRPythonJavaScaladata exploration

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaborationcreativityindependenceadaptabilitylearning abilityattention to detailcritical thinking