9 of 9 NumPy Jobs in the City of London

degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with ...

semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking ...

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring ...

generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural ...

/Tablea u) Skills & Competenc ies Technical Sk illsStrong understanding of data modelling, machine learning frameworks, and statistical anal ysisProficiency in Python libraries (Pandas, NumPy, Scikit-le arn)Good exposure to Azure and Databr icksExperience working with structured and unstructured data sets Core Compete nciesStrong analytical and problem-solving ...

generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural ...

hands-on experience in a Data Science or Analytics role Strong foundation in statistics, hypothesis testing, regression, and experimental design Proficiency in Python (pandas, numpy, statsmodels, scikit-learn) SQL experience for data wrangling and analysis Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

with a proven track record of handling large-scale, high-granularity sports datasets and feeds. ● Predictive Modeling: Deep proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost) and advanced machine learning methods including neural networks and random forests. ● Analytical Domain Knowledge: A professional-level understanding of cricket match dynamics ...