Data Scientist

RELX; Minnesota; On-site; USD 78,800 - 131,300; Full time

Benefits offered by this job

Health benefits

401(k) with match

Wellbeing program

Job summary

LexisNexis Risk Solutions is seeking a Data Scientist to lead predictive modeling and statistical analysis across risk and fraud domains. The role emphasizes data mining and analytics to deliver insights and scalable solutions.

The team operates in a fast-paced environment, collaborating with stakeholders to validate scoring code and ensure model accuracy, while documenting methodologies and best practices.

Qualifications

• Bachelor's or higher in Computer Science, Statistics, Mathematics, or related field.
• Experience in predictive modeling and data analytics.
• Proficiency in SAS, R, Python; familiarity with Big Data tech.
• Excellent communication and cross-functional collaboration skills.

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.

Skills

Predictive modeling

Data mining

Statistical analysis

Strong communication skills

Cross-functional collaboration

Education

Computer Science

Statistics

Mathematics

Tools

SAS

R

Python

Big Data technologies

Job description

About The Business
LexisNexis 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 LexisNexis Risk at the link below, https://risk.lexisnexis.com

About The Business
LexisNexis 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 LexisNexis Risk at the link below, https://risk.lexisnexis.com

About Our Team
The Analytic Customer Management team at LexisNexis 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.

Working for you

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

Learn more about the LexisNexis Risk team and our culture here.

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.

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.