1 to 7 of 7 Statistical Analysis Jobs in South Wales

models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Cross-Department Collaboration: Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

support third party and customer audits on site. Regular communication with customers for New Product development, product approval and complaints Establish and define competent statistical analysis, monitoring quality control data to identify trends, deviations, and potential issues, and implement corrective actions as needed. Collaborate with laboratory staff to … to enhance laboratory efficiency and effectiveness. Provide guidance and support to laboratory staff on quality-related matters, including the interpretation of regulations and standards. Analysis of laboratory performance data to provide feedback regarding manufacturing processes to improve product performance. Requirements: Performance Expectations Measurement System Analysis methodologies, particularly using … statistical analysis techniques are important for this role. A good understanding of UKAS accreditations would be beneficial. Monitor product and laboratory performance to ensure methods are followed accurately, tests meet acceptance criteria and proficiency work is satisfactory. Required Qualifications Bachelor's degree in a relevant field (e.g., quality more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

test and characterization methodologies for silicon carbide power semiconductor devices to understand their reliability and failure mechanisms in operation. Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Develop screening and burn-in procedures for SiC … the field of semiconductor technology; Experience in reliability testing of SiC MOSFETs and diodes, both at wafer- and package-level; A good understanding of statistical analysis and design of experiments; Knowledge of semiconductor TCAD tools for device simulation, i.e. Synopsys Sentaurus, Silvaco Victory; Background in electronics engineering for more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »

post; English and/or Welsh speakers are equally welcome to apply. Person Specification Qualifications Essential Educated to Masters level in human resources or statistical analysis, or demonstrated equivalent level of experience Professional qualification in Human Resources: Chartered Member - MCIPD Extensive specialist knowledge required over a range of more »