11 of 11 Permanent Statistical Modelling Jobs in Yorkshire

similar analytics professional. Advanced SQL skills and experience working with cloud-based data warehouse environments. Strong Python or R capabilities for data analysis, statistical modelling, and machine learning. Experience building predictive models and applying analytical techniques to solve business problems. Understanding of customer journey analysis, funnel optimisation, retention ...

cloud engineering practices. Where you land, you’ll be working with some of the biggest datasets in the UK – using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding … practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimize outcomes, enabling more informed decisions for both the business and its customers. Machine Learning ...

cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical ...

fork to build predictive models, optimise processes, and convert raw data into actionable enterprise value. You will combine mathematical rigour, software development, and statistical storytelling to solve business problems, drive performance, and support strategic decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context … business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs in accessible formats. Where required, develop agile proofs-of-concept (POCs) to showcase potential solutions ...

Type: Contract Compensation: $60–$100/hour Location: Remote About the Opportunity This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects . In this role, you'll apply … your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs . Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems. No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory ...

/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash or other UI frameworks is a nice to have. What ...

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You’ll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

simple to understand, straightforward manner. Support model-related internal and external audits. What You’ll Need Knowledge of model validation techniques, including desktop reviews, statistical testing and challenger model development. An ability to critically analyse and validate complex statistical models across a range of business areas, utilising … balance of business and regulatory knowledge combined with statistical rigour. An understanding of the prudential regulatory environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Degree educated in a mathematical or analytical field. Experience of operating ...

environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Proven experience validating complex statistical models using a range of techniques, including independent review, performance testing and challenger model development. Advanced analytical skills with strong proficiency in Excel … audiences. Deep expertise across the full data science lifecycle, with the ability to critically assess model design, performance and risk using a blend of statistical rigour, commercial awareness and regulatory knowledge. Degree level qualification in a mathematical, statistical, data science or other highly analytical discipline. What ...