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Are you looking to be a member of a team of dedicated individuals striving to provide our clients with innovative solutions to their very real problems?

Are you looking to provide world-class analytics and data-driven solutions for our partners and customers? We welcome you to apply!

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:

This is an opportunity to join a vibrant, collaborative team as an entry level data scientist conducting data analytics and building predictive models for a variety of uses and markets, including credit, fraud, telecommunication, retail, government and business.

About the Role:

This person would be expected to have a firm understanding of machine learning, data mining, statistical methods and multiple modeling techniques. As part of the team, you would be tasked with finding innovative ways to produce solutions to serve our customers and continually expand your expertise.

Responsibilities:

+ Collect, merge, and analyze large datasets to identify trends and patterns

+ Evaluate and enhance data sources to improve product solutions

+ Write analysis code and validate production accuracy with stakeholders

+ Collaborate with internal and external clients on implementation, scoring, and data science techniques

+ Communicate analytic findings and requirements clearly to both technical and non-technical audiences

+ Support product development and sales through analysis, reporting, and data quality improvements

Requirements:

+ Degree in statistics, data science, mathematics, or related field — or equivalent experience

+ Experience in predictive modeling or data analysis using Python

+ Proficient in Python and data manipulation techniques

+ Familiarity with machine learning and analytical methodologies

+ Strong problem-solving, communication, and adaptability skills

+ Comfortable working independently and in collaborative settings, with fluency in tools like PowerPoint, Word, Excel, and Power BI

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

This job is eligible for an annual incentive bonus.

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

We 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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .

Please read our Candidate Privacy Policy .

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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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.