8 Statistical Modelling Jobs in the West Midlands

the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas more »

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 »

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. The more »

Statistics. Advanced degree (MSc, PhD) is a plus. Proven experience in credit risk analysis within a banking or financial services environment. Strong proficiency in statistical modeling and programming languages (e.g., SAS, R, Python) for data analysis. In-depth understanding of credit risk principles, regulatory requirements, and industry best practices. 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 »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities to leverage data, defining … including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams more »

for: Designing, creating, and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to … Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures more »