is of the required standard, well-documented, and easy to maintain. Package all code with appropriate unit-testing to ensure future conformity and stability. Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, ComputerScience or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or More ❯
is of the required standard, well-documented, and easy to maintain. Package all code with appropriate unit-testing to ensure future conformity and stability. Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, ComputerScience or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or More ❯
Oldham, Greater Manchester, UK Hybrid / WFH Options
DataAnnotation
an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you want … problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment More ❯
