4 of 4 Permanent scikit-learn Jobs in Chester

forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy). Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage More ❯

and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with More ❯

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 ❯

Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯