12 of 12 Permanent NumPy Jobs in Yorkshire

SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data ...

Integration. • AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: • Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Knowledge of data science and machine learning concepts and tools. Good to have: • Strategic thinking and problem-solving. • Collaboration and teamwork. • Effective ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying ...

classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering ...

classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering ...

classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering ...