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Data Scientist

Job in Mankato, Blue Earth County, Minnesota, 56006, USA
Listing for: RELX
Full Time position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 78800 - 131300 USD Yearly USD 78800.00 131300.00 YEAR
Job Description & How to Apply Below

About The Business

Lexis Nexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

You can learn more about Lexis Nexis Risk at the link below,

About Our Team

The Analytic Customer Management team at Lexis Nexis Risk Solutions delivers actionable insights that fuel product growth. We respond to client needs, conduct both proactive and reactive analyses, and present findings that help uncover new opportunities. It’s a fast-paced, problem-solving environment where each day brings fresh challenges and meaningful impact.

About

The Role

We’re seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions.

Responsibilities
  • Build and deploy machine learning models using R, Python, SAS, and SQL.
  • Develop cloud-based analytic solutions and integrate them into enterprise systems.
  • Analyze large datasets to uncover insights and support product development.
  • Collaborate with stakeholders to validate scoring code and ensure model accuracy.
  • Document methodologies and follow best practices in statistical modeling.
Requirements
  • Computer Science, Statistics, Mathematics, or related field
  • Experience in predictive modeling.
  • Proficiency in SAS, R, Python, and Big Data technologies.
  • Strong communication skills and ability to work cross-functionally.
  • Fraud analytics experience is a plus.
Benefits

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

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

Learn more about the Lexis Nexis Risk team and our culture here.

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

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