1 to 6 of 6 Statistical Modelling Jobs in the West Midlands

with expert knowledge and experience relating directly to the delivery of this Technology Specialist role. Demonstrate at least 7 years of experience leading simulation, modelling and analytical studies, including one or more of: Discrete Event Simulation; System Dynamics; Agent Based Modelling; Mathematical and Statistical Modelling; Spreadsheet … Modelling; Cost Modelling and Estimation; Mathematical Programming and Optimisation (linear/non-linear optimisation, constraint programming, heuristic optimisation); Kinematic modelling, virtual build simulation/virtual validation and commissioning, 3D modelling; Digital integration such as multi-methods or augmented intelligence. In addition to you specialist field, you … manufacturing industrial application. You will have an in depth understanding/appreciation of the challenges in the adoption of digital technologies in respect to modelling and simulation. Expertise in one or more technologies that contributes towards delivery of Digital Engineerings strategicvision of: virtual manufacturing validation, digitally assisted design, model more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. … Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

Nice IEX is preferred. Experience of scheduling and forecasting for back office workload. Understanding of budgeting process and planning cycles. Skilled in data analysis, statistical modelling and interpretation. Excellent knowledge of forecasting algorithms, including explaining best fit. Strong presentation skills across mixed medias. Gaming Industry knowledge is desirable … Presenting forecasts and recommendations appropriately and regularly to stakeholders. Assessing the impact of upcoming change and flags risk to the planning team. Documenting methodologies, modelling specifications and results diligently. Providing and communicating data for capacity planning and recruitment. Converting model outputs and statistics into valuable insights for departments. “By more »

analysis tools Strong analytical and problem-solving skills Excellent attention to detail Ability to communicate complex data findings to non-technical stakeholders Understanding of statistical concepts and data modeling Ability to work independently and collaboratively as part of a team Apply Now If you are passionate about data analysis more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »