251 to 275 of 416 Statistical Modelling Jobs in England

team, championing robust experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval ...

support is also available for those pursuing actuarial qualifications through the Institute and Faculty of Actuaries. In this role, you will: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

work with and learn from our industry-leading experts, while: Contributing to a variety of client, research and development projects Using actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Presenting your analysis to your colleagues Collaborating with colleagues ...

code in your current role In-depth knowledge of at least one omics technology A track record of developing new computational methods Experience applying statistical modelling or machine-learning methods to complex biological datasets Proven ability to set computational strategy and manage projects independently Experience developing the technical ...

making impactful recommendations. An advanced degree in a quantitative field and strong Python skills are essential. Join us in transforming business efficiency with statistical modeling and data analytics. #J-18808-Ljbffr ...

team additionally supports subject matter experts in research to develop new pricing algorithms and approaches in validating pricing accuracy through the use of standard statistical models as well as cutting edge AI systems. What are we looking for? Basic Qualifications/Requirements 3+ years of professional experience in software ...

Field Data Science team https://www.sylvera.com/research is pioneering new approaches to forest carbon measurement. Traditional methods rely on allometric equations—statistical models that estimate carbon storage based on tree measurements—but these can introduce significant uncertainties. Our team has developed innovative multi-scale lidar methods ...

assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible and AI-ready data ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

solutions within a regulated environment. Job Responsibilities Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem‐solving, and communication ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challengesConduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendationsContribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiencyApply … deploying machine learning or AI solutions using modern tools and techniquesWorking knowledge of large language models, agentic frameworks, or generative AI technologiesExperience with statistical analysis, experimentation, and model evaluation methodologiesProficiency in Python, SQL, and data science tooling used in enterprise environmentsStrong analytical, problem-solving, and communication skillsAbility to manage ...

customer journey. Design, analyze, and interpret A/B tests and other experimentation frameworks to measure product impact and guide roadmap prioritization. Apply advanced statistical and analytical techniques to forecast trends, measure causal impact, and support strategic decision-making in new and growing markets. Partner with global analytics teams … technology environments. Strong expertise in SQL and experience working with large-scale behavioral and transactional datasets. Advanced proficiency in Python for analytics, experimentation, statistical modeling, and data exploration. Extensive experience designing and evaluating experiments, including A/B testing methodologies and causal inference approaches. Strong understanding of KPI development ...

that values correctness and reproducibility over volume, and it sits close to the product leads who shape the methodology. What you'll do Develop statistical models of stock price movements and estimate the performance of thematic trends. Construct and back-test factor risk models, decomposing stock returns into thematic … research reproducible, so that any published output can be re-run exactly, including after backfills and restatements. Work with the pipelines team to take modelling decisions into daily production. Essential Strong production Python. Factor risk models and portfolio attribution in depth: cross-sectional regression, covariance estimation and shrinkage ...

varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes. You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical … contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets ...

varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes. You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical … taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. xehkeey Key skills: ** Strong quantitative and statistical analysis experience ** Bayesian modelling and statistical validation ** Python or R ** Predictive modelling, forecasting and segmentation ** Experience working with large, complex datasets ...

accurately reflect real-world investment conditions. Quantitative Model Validation Establish and maintain the firm's quantitative model validation standards. Independently assess machine learning and statistical models before deployment. Evaluate the statistical robustness and practical relevance of research outputs. Review model assumptions, target construction, calibration, and predictive performance. Identify … structures. Bond pricing conventions and return construction methodologies. Security identifiers including ISIN, CUSIP, and FIGI. Corporate actions and fixed income lifecycle events. Quantitative and Statistical Skills Calibration techniques and probabilistic forecasting. Cross-validation approaches for panel and time-series datasets. Point-in-time data principles and prevention of look ...

Trovix AI Ltd in London seeks a data scientist to apply statistical modelling and machine learning to legally and financial domain data. You ship production features and work with engineers, domain experts and regulated clients. This is not purely research; you will publish features used daily by practitioners ...

public sector, industry or academia. You should have hands-on experience using Python or equivalent tools and a solid understanding of areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging ...

hedge fund. PhD or MS in a quant discipline preferred. Strong proficiency in Python; experience with databases (SQL, KDB etc.). Strong forecasting/statistical modelling skills. Comfortable combining disparate and diverse data sources. Balancing multiple projects in a fast-paced environment; works independently and on a team. ...

hedge fund* PhD or MS in a quant discipline preferred* Strong proficiency in Python; experience with databases (SQL, KDB etc.)* Strong forecasting/statistical modelling skills* Comfortable combining disparate and diverse data sources* Balancing multiple projects in a fast-paced environment; works independently and on a teamAll qualified ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

credentials, but for the ability to reason clearly under uncertainty and build things that work in production. Our work sits at the intersection of statistical modelling, market microstructure, and engineering. The aim is straightforward, if not easy: extract durable signals from noisy data and convert them into scalable ...