5 of 5 Remote/Hybrid NumPy Jobs in North Wales

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working ...

robust risk calculation and reporting solutions Contribute to system architecture and technical design decisions Required Skills & Experience Strong Python programming skills, including proficiency with NumPy, SciPy, and other scientific libraries Demonstrated experience in financial risk management systems development Understanding of FICC products, particularly in Emerging Markets Knowledge of software engineering ...

Required skills Proficiency in Python. Strong understanding of data structures, algorithms, and software design principles. Experience with data analysis and manipulation using libraries like NumPy, Pandas, or similar tools. Good knowledge of probability, statistics, and quantitative modeling techniques. Familiarity with cryptocurrency markets, blockchain technology, and trading concepts (e.g., order types ...

that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems … impact. You have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...