2 of 2 Analytical Modelling Jobs in the Channel Islands

Skills and Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing … and Analysts to build and optimise data workflows. Integrate multiple data sources, ensuring data quality, consistency and alignment with government standards. Support the design, validation, and continuous improvement of analytical models, contributing to long-term data strategy. Applications: Please call Edward here at ISR on 07436 071 872 to learn more about our client and how they are leading More ❯

Senior Data Scientist (Marketing Mix Modelling (MMM), A/B Tests, Causal Inference) Employment Type: Contract (Outside IR35) Length: 12 months Were looking for someone who enjoys solving complex problems at the intersection of data, marketing, and technology. Youll play a key role in building models, experiments, and optimisation tools that help shape how marketing decisions are made. What … youll do Develop analytical models to understand the impact of marketing activities. Design experiments and frameworks to measure incremental value across channels. Build optimisation tools to guide budget allocation and improve return on investment. Apply advanced statistical and causal inference methods to separate organic performance from paid effects. Work with relational and graph-based data to uncover links between … audiences, campaigns, and outcomes. What were looking for Several years of experience in data science, econometrics, or marketing analytics. Strong knowledge of statistical modelling and causal inference techniques. Practical experience with optimisation methods and experimentation. Hands-on experience with marketing mix modelling and media attribution models. Proficiency in Python and common machine learning or statistical libraries. Familiarity with More ❯