Data Scientist
At a glance
Mid-level Data Science role at RELX. Minnesota · full-time · $77,300–$128,700 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and put machine learning models into use with R, Python, SAS and SQL
- Create analytics in cloud environments and connect them with enterprise systems
- Explore large datasets for findings that can inform product development
- Work with stakeholders to check scoring code and confirm model accuracy
- Record modeling methods and apply sound statistical practices
What you bring
- A degree in computer science, statistics, mathematics or a related field
- Hands-on predictive modeling experience
- Working proficiency in SAS, R, Python and big data technologies
- Clear communication and the ability to work across teams
Who this fits
This role suits a mid-level data scientist who wants to work on predictive models and statistical analysis, including risk and fraud topics. Fraud analytics experience is a plus. The stated salary range applies to Minnesota.
From the employer
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
Learn more about the LexisNexis Risk team and our culture here.
The salary range provided in this posting is the base salary range for Minnesota:$77,300.00 - $128,700.00We are committed to providing a fair and accessible hiring process. 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.
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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.
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