Dieses Stellenangebot ist nicht mehr verfügbar
Senior Data Scientist II
RELX
- United States
- United States
Über
RELX is a leading provider of risk assessment solutions, and they are seeking a Senior Data Scientist II to develop and implement analytics and AI solutions. This role involves executing complex analytical work and collaborating with various teams to translate data into actionable insights across the insurance lifecycle.
Responsibilities : • Design, build, and implement machine learning and statistical models to support analytics and AI use cases. • Independently execute complex analytical projects within defined scope, including data exploration, feature engineering, modeling, and evaluation. • Contribute to end‑to‑end AI solutions, supporting data pipelines, model training, inference, and integration with downstream systems. • Support the development and integration of model inference services and APIs that enable real‑time or near‑real‑time AI workflows. • Operationalize models in production or near‑production environments, following established engineering and analytics best practices. • Collaborate with engineering and platform teams on APIs, services, and analytics infrastructure. • Develop reusable analytical components that support scalability and maintainability. • Participate in technical design discussions and code reviews, reinforcing team standards and best practices. • Communicate analytical results, model performance, and limitations to internal stakeholders. • Support model monitoring, documentation, validation, and ongoing improvement activities.
Qualifications : Required : • Proven Data Science experience • Advanced academic experience—such as a Master’s degree or Doctoral degree in a related discipline—may substitute for part of the required experience • Solid experience in 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 appropriate statistical and machine learning metrics and validation techniques • Experience working with structured and unstructured data at scale • Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit‑learn, XGBoost, PyTorch) • Experience working with SQL and relational or cloud‑based data platforms • Hands‑on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost‑aware execution • Exposure to modern AI frameworks and tools, including large language model (LLM)–based solutions and retrieval‑augmented workflows • Experience training, fine‑tuning, or evaluating neural network–based models as part of applied machine learning solutions • Experience in 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 defined scope • Clear and effective communicator, able to explain technical ideas in a way that’s easy for non‑technical audiences to understand
Company :
RELX is a provider of information-based analytics for professional and business customs. Founded in 1993, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.