13 of 13 Statistical Modelling Jobs in the South West

business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … projects, from strategic insights to operational efficiencies.You will work hands-on across the full data lifecycle: from data ingestion and engineering to advanced analytics, modelling, and compelling visualisation. You will collaborate with stakeholders across various business functions, including strategy, finance, operations, and IT, to translate complex business problems into ...

discuss flexible working! Top 3 skills needed for this role: Highly developed analytical and problem-solving capability with good attention to detail. Proven Statistical Modelling Capability Advanced Programming & Visualisation Skills What this role is all about: As a Data Analyst within the VitalityLife Actuarial team, this role plays … data workflows, ensuring outputs remain accurate, reliable and fit for purpose Develop scalable analytical solutions using R, Python and SQL to improve data accessibility, modelling capability and operational efficiency Work collaboratively with Actuarial, Data Science, Business Intelligence and Data Engineering teams to deliver high-quality data products and business ...

also welcomed. Experience working with cloud-based analytics environments. Exposure to GCP would be beneficial but is not essential. Python experience. Knowledge of statistical techniques and predictive modelling. Ideal Candidate A true data storyteller rather than someone focused solely on reporting and dashboard creation. Comfortable working directly with stakeholders ...

seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. … Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.- Develop ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour - stochastic calculus, PDEs, numerical methods and the theory of the term structure - with … solid software engineering to deliver best-in-class pricing, risk and hedging models to the trading desk. QTR is an expert quantitative modelling group at J.P. Morgan and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with ...

including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing: As an Analyst in the BCB Credit Risk Modelling team, you’ll help develop and maintain models that support important business decisions across Business and Commercial Banking.You’ll work with data that helps … value for customers, manage risk effectively and support a safe, strong bank. Working as part of a specialist modelling team, you’ll support different stages of the model development and maintenance process – from understanding regulatory requirements and turning them into analytical problems, through to exploring modelling approaches ...

track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

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 ...

offices in London, Bournemouth, Chelmsford or Birmingham.As a Principal Pricing Analyst, you will play a significant role in decision making; carrying out statistical analysis and making recommendations to stakeholders to improve the pricing and products we offer to our customers and brokers.Be part of a team that’s driving … updates – continually looking to improve data and processesWorking with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomesGetting hands-on with data from its source right through to modelling rating changes and then implementation of changes in ratingAnalysing data, interpret ...

experiments and analyses collaboratively with coding agents. Experience building large-scale, highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Ability to use AI every day to build and find ways to push the frontier of model capabilities to accelerate work. Ability ...

code, running experiments and analyses collaboratively with coding agents. Experience building highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Proven ability in approaching new research questions and implementing technical solutions for them at scale. Ability to use AI every day to build ...

summary Data Scientists play a key role in using data, stats & machine learning to solve problems & improve decision-making. They will develop & evaluate statistical & machine learning approaches, focus on applications such as population health analysis, risk stratification, forecasting, segmentation & predictive modelling. Bringing together complex datasets, identifying appropriate modelling … ensure analytical code & models can be developed, tested, deployed & updated in a controlled & reproducible way. Emphasis placed on discovery, experimentation & rapid prototyping, testing hypotheses & modelling approaches early, evaluating whether they provide meaningful value & iterating based on evidence & user feedback. Ensure solutions are robust, reproducible, explainable & appropriately validated, consideration given ...