Data Scientist III

RELX

. Develop and maintain KEL attributes from multiple data sources, translating business needs into analytical solutions with Modelling and Technology .

Posted 10/23/2026full-timeAlpharetta • United StatesMid-LevelSenior💰 $86,600 - $144,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Analytics, Programming, and Machine Learning, with a strong focus on attribute development, data quality validation, and responsible AI practices. Proficient in using Python, ECL, and Java for analytical solutions while ensuring compliance with data privacy and security standards.

Highest-signal resume keywords

Python ProgrammingData Quality ValidationMachine Learning KnowledgeResponsible AI PracticesData Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonECLJavaSQLData ManipulationExploratory AnalysisFeature EngineeringData Quality AssessmentAnalytical SolutionsKEL

Soft Skills

Analytical SkillsCreative Problem-SolvingCommunication Skills

Tools & Technologies

Relational DatabasesMachine Learning LibrariesGenerative AI ToolsLarge Language Models

Certifications & Qualifications

Master’s Degree in Data AnalyticsStatisticsData EngineeringComputer ScienceMathematics

Industry Keywords

Data PrivacyData SecurityGovernanceExplainabilityBias Assessment

Tech Stack

Tools & technologies

JavaPythonSQLC++

About the role

Key responsibilities & impact

Develop and maintain KEL attributes from multiple data sources, translating business needs into analytical solutions with Modelling and Technology
Independently test and monitor attribute quality, completeness, and consistency using Python, ECL, Java, and other tools; diagnose defects and validate fixes
Maintain attribute definitions, source data documentation, business logic, validation records, user guides, and training materials
Partner with developers and Technology to deliver attributes into production and improve application functionality, reliability, and efficiency
Prototype and evaluate AI and machine learning for attribute discovery, feature engineering, and anomaly detection against established methods and defined criteria
Use approved generative AI and large language model (LLM) tools for coding, testing, and documentation, independently validating outputs before use
Apply responsible AI practices, including protecting sensitive data, ensuring reproducibility and explainability, assessing bias, documenting limitations, and following governance, security, and human oversight requirements
Communicate progress, findings, risks, dependencies, and next steps to the manager and stakeholders

Requirements

What you’ll need

Master’s degree in Data Analytics, Statistics, Data Engineering, Computer Science, Mathematics, or equivalent experience
Experience in programming, data analysis, or a related field, independently delivering moderately complex work and troubleshooting, testing, and documenting fixes
Experience with KEL, ECL, Python, Java, SQL, or C++, and working knowledge of relational databases, are preferred
Experience with analytics involving sensitive data and an understanding of privacy, security, and appropriate data handling
Experience in data manipulation, exploratory analysis, and validation of data quality and analytical results
Strong analytical, creative problem-solving, and accuracy skills, with the ability to learn and apply new tools and technologies
Foundational AI and machine learning knowledge, including feature engineering, training, validation, evaluation metrics, overfitting, and data leakage
Understanding of LLM limitations, output validation, human review, and confidentiality
Practical experience with Python-based machine learning libraries or approved generative AI tools, and familiarity with responsible AI principles—explainability, fairness, reproducibility, and governance—are preferred
Strong written and verbal communication skills, with the ability to explain technical concepts and collaborate with technical and business stakeholders

Benefits

Comp & perks

Annual incentive bonus
Country-specific benefits
Fair and accessible hiring process accommodations