101 to 125 of 192 NumPy Jobs in the UK

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

Skills & Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data ...

Skills & Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data ...

Skills & Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data ...

with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment Schema ...

with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment Schema ...

/ML, LLMs (GPT, Claude) and Generative AI . Proven experience with Agentic AI tools, GitHub Copilot, MCPs . Advanced Python skills – NLTK, NumPy, Pandas, Scikit-learn. Good understanding of AI/ML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). Experience developing AI-enhanced test automation solutions. Solid ...

analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. ...

high-pressure, delivery-focused environments Able to explain how you moved data, not just which tools you used Python (PySpark/Pandas/NumPy) and SQL using practically for data transformation Desirable Experience migrating data into Dynamics (or similar ERP platforms) Experience working with messy, real-world data Exposure ...

looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools ...

Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. ...