101 to 125 of 190 Statistical Modelling Jobs in England

models, analysing complex datasets and providing insights that support commercial decision-making. You'll work on a variety of technical projects, helping to enhance modelling approaches, communicate findings to stakeholders and contribute to the development of pricing solutions.Candidate requirements:The ideal candidate will have a strong STEM academic background … degree or above), with a PhD or research-based Masters highly desirable. You should have strong analytical skills, experience in statistical modelling or data analysis, and programming experience in Python or R.If you're interested in finding out more, please get in touch via email - matt.morgan@eamesconsulting.com .Eames ...

deliver data-driven solutions Identify trends, patterns and opportunities through advanced analysis Present findings and recommendations to stakeholders Support the continuous improvement of modelling approaches and analytical processes Skills & Experience Active SC Clearance (mandatory) Strong experience in Data Science and Analytical Modelling Experience working with complex, large-scale … datasets Strong Python and data analysis capabilities Experience with machine learning and statistical modelling techniques Ability to communicate technical findings to both technical and non-technical audiences Experience working within cross-functional teams, including engineering and reporting/MI functions Contract Details Contract Length: 6 months Day Rate ...

Python or equivalent tools to analyse data, develop models or build AI-enabled solutions.Understanding of common data science and machine learning approaches, such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different …/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness, explainability, transparency, robustness, privacy, security and human oversight.Working in secure, sensitive or mission ...

Python or equivalent tools to analyse data, develop models or build AI-enabled solutions.Understanding of common data science and machine learning approaches, such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different …/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness, explainability, transparency, robustness, privacy, security and human oversight.Working in secure, sensitive or mission ...

Python or equivalent tools to analyse data, develop models or build AI-enabled solutions.Understanding of common data science and machine learning approaches, such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different …/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness, explainability, transparency, robustness, privacy, security and human oversight.Working in secure, sensitive or mission ...

financial servicesExperience conducting root cause investigations and applying problem management methodologies to understand why issues occur and to prevent recurrenceProficient in Trend Analysis and statistical modelling to predict system failuresProven extensive experience leading Event, Incident, Problem and Change management teams/departments with demonstrable proactive functional enhancement ...

Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant ...

Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring. \n Experience with large scale data analytics and statistical modelling. \n Strong analytical, problem solving and communication skills. \n\n \n Visa is an EEO Employer \n Qualified applicants will receive consideration ...

product roadmap to regulatory positioning. You will work with genuine autonomy across the full arc of a study, from design and SQL extraction through statistical modelling and peer-reviewed submission, and you will see your work presented at international conferences and high impactful journals.What you’ll doDesign … Digital HealthExtract and clean large-scale clinical datasets using SQL and BigQuery, building reproducible, auditable pipelines from raw data to analysis-ready tablesConduct advanced statistical analysis in R and/or Python, including MMRM, mixed-effects models, survival analysis, and causal inference methods such as IPTW and propensity scoringLead ...

delivering and operating production-grade models within financial services or other highly regulated, high-availability environments.Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle.Strong hands-on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value.Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences.Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

abilities. Additional desirable Qualifications for Quantitative analyst Knowledge of Q/KDB+ Familiarity with Linux environments and Bash scripting. Additional knowledge of quantitative methods, statistical modelling, or financial markets would be advantageous. If you are interested, then please apply and we can get it contact! Reference: AMC/ ...

taking machine learning projects beyond initial experimentation. You should be comfortable with: Python and common data science libraries. SQL and working with large datasets. Statistical modelling and machine learning. Feature engineering, model selection and evaluation. Writing clear, maintainable and testable code. Git-based development workflows. Working ...

advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. ...

solutions in a financial services contextExperience integrating AI solutions with enterprise operational platforms, accounting engines, and data infrastructure at scaleQuantitative Skills — experience applying statistical modelling, data science, or quantitative analysis to financial or operational problems and to determine true impact of capabilitiesWhat we can offer youYou will work ...

Using proprietary tools and techniques to prep, mine and format customer data, analyze, produce models to develop insight dashboards and customer presentations.Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics.Collaborate as part of a team to drive analyses and insights, walking customers through ...

stay ahead of the curve.We're Looking ForStrong analytical and quantitative skills with the ability to translate findings into clear recommendations.2+ years experience building statistical models in Python and extracting/manipulating data in SQL.2:1 or higher in a quantitative degree from a top university.Someone who takes ownership ...

learning about the impact you want to make.SkillsArtificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical ModelsWhy GSK Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science ...

forward pricing points for illiquid locations/commodities.Implements algorithms in Matlab and SQL.Updates related documentation.Performs analysis and modeling including developing quantitative/analytic/statistical models.With the team, ensures proper publication of curves every day.Responds to client requests/enquiries for data and analysis.Experience Required:Proven work experience performing ...

improving technologies.In the past you would have applied your Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.As you will be applying your development skills to a number of areas … software skills to be in different areas such as Python, C++, C#, MATLAB, Java or any other language while implementing machine learning, data science, statistical modelling or other techniques.It is expected that you would hold a degree within a computer science, physics, mathematics, technology or statistical field ...

issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution to our stakeholders … awareness of and are adhering to the appropriate regulatory and internal policy requirements. What you'll have: You'll be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good ...

exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate … work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management ...

seeking sponsorship*Job SummaryPython Engineer is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used ...

Deep Learning within commercial environments You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets.What's in it for you:Up to 150k ...

Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Physics, Engineering or another highly quantitative discipline. Research experience involving machine learning, deep learning, optimisation or statistical modelling. Strong Python programming skills. Experience with frameworks such as PyTorch, TensorFlow, JAX or Keras. Experience designing experiments, evaluating model performance and interpreting results. ...