18 of 18 Statistical Modelling Jobs in the South West

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they ...

deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with … providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision‐making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

/year Description We're looking for a Pricing Analyst to join our Retail Pricing team. In this role, you'll use data analysis, statistical modelling and pricing insights to help develop competitive, fair and profitable pricing strategies for our motor insurance products. Working closely with colleagues across … retention, drive commercial performance, and ensure pricing decisions align with regulatory requirements and customer needs. What you'll be responsible for: Data Analysis and Modelling Analyse historical data and trends to develop accurate pricing models and forecasts. Apply statistical and actuarial techniques to identify key risk factors influencing ...

Data Scientist - Transport Modelling - Various UK Locations Why Join Jacobs? We're excited to offer a new opportunity within our growing Transport team, where data, technology and innovation are helping shape the future of transport in the UK and around the world. This role offers the chance to work … significant autonomy, technical growth and career development. You'll work closely with senior technical leaders, including our Global Principals for Big Data and Strategic Modelling, as well as experts from across our transport modelling and analytics community At Jacobs, you'll be joining one of the largest ...

client is a leading global investment bank. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in our client 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 and Payments ...

logical thinking and problem-solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

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 ...

within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts … data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications ...

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 our client and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with ...

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 ...

efficient and effective operations, ensuring resource plans support service performance, financial discipline, cost efficiency and wider commercial objectives. Key Responsibilities 1. Capacity Planning & Resource Modelling Lead the design, ownership and maintenance of operational capacity plans across Helpdesk & Operations, ensuring plans are robust, governed and aligned to demand, service commitments … evidence-based and financially responsible. Set out clear hiring, redeployment and resource recommendations across operational roles, influencing senior stakeholders through clear rationale, scenario modelling and commercial impact assessment. Track actual versus planned recruitment, attrition, shrinkage and productivity assumptions, providing early warning of risks to service, cost or delivery outcomes. ...

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 ...

role is likely to suit someone with experience in risk management, governance, compliance, operational risk, controls, management information or reporting environments, rather than purely statistical, modelling or actuarial-focused roles. We're particularly interested in hearing from candidates who have: * Knowledge of risk management principles and frameworks* Experience ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

Somerset Bridge is seeking a Pricing Analyst to join our Retail Pricing team in Bristol. The role uses data analysis, statistical modelling and pricing insights to develop competitive, fair and profitable pricing strategies for motor insurance products. You will collaborate with Pricing Actuaries, Underwriting and IT to implement ...

technical expertise. This role is based at our Canary Wharf office in London. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...