13 of 13 Permanent Statsmodels Jobs in the UK

practice. Demonstrable experience of personally taking models into production and supporting them in life. Machine learning across the standard toolkit (scikit learn, pandas, NumPy, statsmodels or equivalents), with sound judgement about model selection, validation and the limits of what the data supports. Software engineering fundamentals: version control, branching strategy, code ...

both statistically and commercially credible. Strong Python or R and SQL skills (joins, CTEs, window functions), with libraries such as pandas, NumPy, scikit-learn, statsmodels, or SciPy — and explainability tools like SHAP. Fluent in commercial concepts (ROI, ROAS, incremental revenue, margin, market share) and comfortable partnering directly with business-facing ...

code review). Proven experience taking models into production and supporting them in life. Strong ML/statistics toolkit (e.g., pandas, NumPy, scikit-learn, statsmodels or equivalent) and sound validation judgement. Software engineering fundamentals: version control, branching strategy, code review, automated testing, dependency/environment management. Practical MLOps/ ...

translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis ...

oriented design and softwareengineering fundamentals: version control, code review, automated testing,dependency and environment management. Machine learning acrossthe standard toolkit (scikit learn, pandas, NumPy, statsmodels orequivalents), with sound judgement about model selection, validation andthe limits of what the data supports. MLOps and CI/CD inpractice, covering pipeline orchestration, model ...

software engineering fundamentals: version control, code review, automated testing, dependency and environment management. Machine learning across the standard toolkit (scikit learn, pandas, NumPy, statsmodels or equivalents), with sound judgement about model selection, validation and the limits of what the data supports. MLOps and CI/CD in practice, covering pipeline ...

experience in translating technical methods to non-technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional.Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis ...

language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product end to end – from data acquisition and modelling ...

computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly ...

computer vision, audio, graphs, time-series or tabular dataStrong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC)Understanding of software engineering and ML best practices, including version control, packaging and model deploymentExperience training and deploying models using cloud platforms, particularly AWSAbility ...

testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record of influencing ...

proprietary research platform to support new exchanges, products and functionality.Python Developers Must Have:Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that projectExperienced ...

proprietary research platform to support new exchanges, products and functionality.Python Developers Must Have:Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that projectExperienced ...