1 to 25 of 41 scikit-learn Jobs in the North of England

statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...