6 of 6 Permanent Statsmodels Jobs in Central London

commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively in agile, cross-functional teams. ...

projects from conception to delivery. Experience with customer focused Data Science techniques - especially around personalisation and recommenders. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation. Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value. Track record of working ...

images, audio, graphs, time series and tabular data Advanced Python skills with experience using libraries such as pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels or PyMC Strong understanding of software and ML engineering best practice (e.g. version control, packaging, model deployment) Ability to communicate complex technical concepts clearly ...

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 ...

industry or similar environment. • Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit-learn, pytorch, transformers, statsmodels, pymc). • Ability to absorb complex new scientific concepts and quickly get up to speed on new areas of the literature. • Good understanding of software ...

computer vision, time series, graphs or tabular data Advanced Python skills and experience with libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels or PyMC Experience delivering end-to-end data science or AI projects, from problem definition through to deployment Good understanding of software and ML engineering best ...