Outside IR35 contract jobs

Description

Responsibilities:
- Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation.
- Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling.
- Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models.
- Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions.
- Taking base models, oversee or build in additional improvements and progress the model towards finalisation.
- Create sales effect/ROI workbook.
- Create response curves and optimisation charts budget allocation.
- Run scenarios required to answer client objectives for the purpose of forward looking optimization.
- Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Requirements:
- Minimum 5 years of proven experience in developing and implementing Marketing Mix Models.
- Be an expert in Python and familiar with R programming for MMM Models.
- Have in depth understanding of statistical modelling / ML techniques.
- Strong experience with Regression based models applied to the context of MMM modelling.
- Solid experience with Probabilistic Programming and Bayesian Methods.
- Be an expert in mining large & very complex data sets using SQL and Spark.
- Have in depth understanding of statistical modelling techniques and their mathematical foundations.
- Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred.
- Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation).
- MS or PhD degree in Data Science, Computer science, applied mathematics, statistics or another relevant discipline with a strong foundation in modelling computer science.