Bayesian Data Scientist
Posted Today by ECM Talent
Negotiable
Inside
Remote
London Area, United Kingdom
Summary: The Senior Bayesian Data Scientist role focuses on driving pricing strategy and optimization through advanced statistical modeling and probabilistic methods for a leading consumer goods client. This position involves managing the entire data pipeline and collaborating with the Data Science team to develop robust pricing models. The role is primarily remote with occasional visits to the London office and is classified as inside IR35 for a 12-month contract. Strong expertise in Bayesian modeling and Python is essential for success in this position.
Key Responsibilities:
- Drive pricing strategy and price optimization through advanced statistical modeling and probabilistic methods.
- Own the end-to-end data pipeline including collection, extraction, manipulation, analysis, and validation.
- Focus on pricing dynamics, demand elasticity, and revenue optimization.
- Collaborate with the Data Science team to build and refine pricing models ensuring robustness and commercial impact.
Key Skills:
- Strong experience developing Bayesian models in a pricing or commercial analytics context.
- Expert in Python.
- Strong experience with PyMC.
- Experience building regression-based models for price elasticity and demand forecasting.
- Strong understanding of statistical modeling and machine learning techniques applied to pricing optimization.
- Experience with probabilistic programming and Bayesian inference.
- Familiarity with price sensitivity analysis, willingness-to-pay modeling, or revenue management.
- Good working knowledge of cloud-based data science frameworks.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Senior Bayesian Data Scientist – Pricing & Price Optimisation
Remote working – Inside IR35 – 12 Month Contract - London, UK
Leading consumer goods client requires a Senior Bayesian Data Scientist to drive pricing strategy and price optimisation through advanced statistical modelling and probabilistic methods. Remote first with flexibility for occasional presence in their London office. This role will own the end-to-end data pipeline – collection, extraction, manipulation, analysis and validation – ensuring data is ready for modelling, with a specific focus on pricing dynamics, demand elasticity and revenue optimisation. You will work closely with the Data Science team to build and refine pricing models, ensuring robustness, validity and commercial impact.
Requirements:
- Strong experience developing Bayesian models in a pricing or commercial analytics context
- Expert in Python
- Strong experience with PyMC is essential
- Experience building regression-based models for price elasticity and demand forecasting
- Strong understanding of statistical modelling and machine learning techniques applied to pricing optimisation
- Experience with probabilistic programming and Bayesian inference
- Familiarity with price sensitivity analysis, willingness-to-pay modelling or revenue management is a strong advantage
- Good working knowledge of cloud-based data science frameworks