Data Scientist

LexisNexis Risk Solutions FL Inc. Company

Minneapolis (MN)

On-site

USD 77,000 - 129,000

Full time

14 days+
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Benefits offered by this job

Health benefits
401(k) with match
Employee Share Purchase Plan
Wellbeing program
Paid time off

Job summary

LexisNexis Risk Solutions is seeking a Data Scientist to lead predictive modeling and statistical analyses across risk and fraud domains. The role focuses on data mining, analytics, and delivering scalable insights to inform product development.

You will build ML models using SAS, R, Python, and SQL, develop cloud-based analytic solutions, and collaborate with stakeholders to ensure model accuracy. Strong communication across teams is essential.

Qualifications

  • Degree in 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.

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
SAS
R
Python
Big Data
Cross-functional collaboration
Fraud analytics

Education

Computer Science, Statistics, Mathematics, or related field

Tools

SAS
R
Python
SQL
Cloud platforms

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 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

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.

The salary range provided in this posting is the base salary range for Minnesota:$77,300.00 - $128,700.00

If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.

About RELX

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

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