and data science in a 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. Please note: Unfortunately this role More ❯
and data science in a 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. Please note: Unfortunately this role More ❯
with the judgment to balance rigorous modelling with real-world commercial decision-making. In addition, we’re looking for someone who can demonstrate: Hands-on expertise in Python (pandas, statsmodels, scikit-learn) and SQL, with the ability to manipulate, analyse, and model very large datasets. Solid experience applying a range of regression and econometric methods, from OLS and elasticity modelling More ❯
Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that unravel the stories More ❯
Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for delivering exceptional data models and products that unravel the stories More ❯
datasets. Desirable Experience & Skills: Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of Python and core libraries applicable to data science (eg, pandas, numpy, statsmodels) Hybrid - 3 days from the client's office. More ❯
