Senior Statistical Modeler

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🔥 1 minute ago

🇺🇸 United States – Remote

💵 $104.9k - $174.7k / year

⏰ Full Time

🟠 Senior

👻 Ghost score 5%

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Develops and implements analytics and AI solutions supporting business and product objectives • Executes complex analytical work across the full modeling lifecycle • Applies statistical, mathematical, predictive modeling, and business analysis skills to complex data from multiple sources • Develops and maintains infrastructure connecting internal datasets • Creates data collection frameworks for structured and unstructured data • Interprets business challenges and recommends best practices to improve products, processes, and services • Collaborates with engineering, product, and platform teams • Communicates analytical insights to technical and non-technical stakeholders • Trains and mentors junior staff • Serves as a subject-matter expert to clients

🎯 Requirements

• Proven Data Science experience; advanced academic experience such as a Master’s degree in a related discipline may substitute for part of the required experience • Solid experience applying machine learning and statistical techniques to real-world problems • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models • Experience evaluating model performance using statistical and machine learning metrics and validation techniques • Experience working with structured and unstructured data at scale • Proficiency in Python and/or R with data science and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, and PyTorch • Experience with SQL and relational or cloud-based data platforms • Hands-on experience developing and running data science and AI workloads in AWS and Azure cloud environments, including compute, storage, monitoring, and cost-aware execution • Exposure to modern AI frameworks and tools, including LLM-based solutions and retrieval-augmented workflows • Experience training, fine-tuning, or evaluating neural network-based models • Experience applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows • Ability to independently execute complex analytical work within a defined scope • Clear and effective communication of technical concepts to non-technical audiences

🏖️ Benefits

• Annual incentive bonus • Country-specific benefits • Disability and accommodation support

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