3 of 3 Permanent Statistical Analysis Jobs in West Yorkshire

looking for a detail-oriented and analytical professional to support manufacturing quality and process improvement initiatives. The role involves developing measurement systems, implementing statistical techniques, and ensuring compliance with regulatory standards for high-risk products. Key Responsibilities Develop and implement measurement systems, including destructive and non-destructive testing methods … process support Design and apply standard and customized sampling plans considering product risk, defect frequency, and compliance requirements Perform Measurement System Analysis (MSA) to evaluate the effectiveness of testing and measurement tools Ensure accountability for sampling strategies, including evaluating acceptance criteria and risk impact Apply statistical tools such ...

will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations … internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. ...

Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested … experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. ...