26 to 35 of 35 Statistical Modelling Jobs in the North of England

data lakes and modern data platforms such as Microsoft Fabric. Produce curated data models for analytical tools including Power BI. Support the development of statistical and predictive data models, including machine learning use cases where relevant. Maintain and enhance the organisation's data and analytics platform to ensure performance … related discipline, or equivalent relevant experience. Strong experience with programming and query languages such as SQL, Python, R, Scala or Hive. Experience using data modelling, ETL/ELT and visualisation technologies such as Power BI, DAX, Synapse and Microsoft Fabric. Proven experience in a Data Engineer or similar role ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

Governance Manager, your main responsibilities include: Ensure delivery of approximately 50 audits per year across the UK, Europe, Middle East and Asia Pacific. Apply statistical analysis and modelling to assess warranty cost risks and vehicle programme impacts Translate complex data into clear, board-level reporting to support warranty ...

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 ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

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 ...

North East’s emerging semiconductor cluster. They are now searching for a Manufacturing Engineer to provide manufacturing/industrial engineering expertise, using capacity modelling, data analysis and continuous improvement techniques to optimiseWIP flow, cycle time, equipment utilisation, throughput and delivery performance. Key Responsibilities Maintain and improve the fab capacity … using Lean/Six Sigma and structured problem-solving methods Experience & Qualifications 2+ years’ experience in Semiconductor, Electronics or Automotive manufacturing, particularly in: Capacity modelling Operations optimisation Data analysis Continuous improvement Bachelor’s degree in Engineering plus 3 years’ industry experience, or equivalent proven industry experience Lean/ ...