LexisNexis Risk Solutions
We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too
https://risk.lexisnexis.com
About the Role:
Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.
Responsibilities:
Must be a US Citizen or Greencard holder
Independently scope, execute and lead small scale projects. Independently execute for more complex projects.
Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.
Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.
Assist in creation of crime data vectorization, similarity measures, and clustering.
Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.
Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.
Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.
Required Qualifications:
Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Master’s Degree in related field and 5+ years of relevant work experience.
Skills and Competencies:
This person needs to be inside the US boundaries to work on the projects based on necessary compliance.
Proficient user of Python, SQL, Pandas, and NumPy.
Competent user of Java.
Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.
Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.
Strong documentation, written and verbal communication skills.
Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.
Organized with the ability to handle multiple concurrent activities.
Self-starter and eager to learn.
Demonstrates leadership within small teams.
Detail oriented and critical thinker with strong analytical thinking skills.
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.
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.
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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.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Must be a U.S. Citizen or Green Card holder
- Must be inside US boundaries to work on projects
- Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years experience, or Master's degree and 5+ years experience
- Proficient in Python
- Proficient in SQL
- Proficient in Pandas
- Proficient in NumPy
- Competent in Java
- Experience with Generative AI and platforms such as OpenAI, Copilot, and Claude
- Experience with data wrangling, data mining, statistical methods, modeling, and processing large datasets
- Experience in prompt engineering and architecting generative AI features
- Demonstrated leadership within small teams
- Strong documentation, written and verbal communication skills
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.


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