6 of 6 NumPy Jobs in the North of England

A degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled environment Knowledge of parallel More ❯

and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/ More ❯

experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important More ❯

Hands-on experience building or significantly overhauling a data system or centralised reporting platform. Proficiency in Python for data automation and transformation (e.g. pandas, NumPy). Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL). Comfortable working with large datasets (CSV/Excel/API-based) and More ❯

/Adobe Substantial experience with data warehouse platforms like Snowflake Substantial experience with languages like SQL, Python Substantial experience with python libraries such as NumPy, Pandas, SciPy, scikit-learn Applied knowledge of machine learning/statistical modelling techniques Experience in using a tag management system like TealiumIQ Knowledge of software More ❯

better. What you’ll do Interrogate large datasets in SQL to analyse depot efficiency, delivery timelines, stock levels, and service bottlenecks Use Python (Pandas, NumPy, scikit-learn/statsmodels) to apply performance models or forecasting where needed Build and maintain some Power BI dashboards — but you won’t be buried More ❯