3 of 3 Contract Statistical Modelling Jobs in the UK excluding London

Data Scientist with PyMc & Marketing Mixed Modelling experience 6 Months Contract Inside IR35 Remote/1 day onsite a month Bankside My client a top Global company are currently looking to recruit a Data Scientist with PyMc & MMM experience to join their team on a 6-month contract basis. Please note if successful this position will need to set … up via an Umbrella Company/PAYE. This Senior Data scientist required to work with our clients Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models. 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 … Requirements: Proven experience in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert More ❯

decision engines, integrating internal and external data sources . Translate credit policy and business objectives into technical requirements and rule frameworks . Partner with data science teams to integrate statistical and machine learning models . Ensure compliance with lending regulations and deliver full audit transparency . Establish performance monitoring frameworks - approval rates, default trends, model accuracy . Drive automation … capability (Python, R, SAS) . Proficient in enterprise system integration and data warehousing environments . Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning . Advanced knowledge of statistical modelling & machine learning techniques . In-depth understanding of credit life cycle, affordability, and lending risk principles . Knowledge of credit policy, underwriting criteria, affordability metrics, and regulatory More ❯

23. The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model … performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and More ❯