76 to 95 of 95 Statistical Modelling Jobs in the UK

Develop and implement pricing strategies that align with business objectives and regulatory requirements. Provide technical leadership and mentoring to junior analysts. Deliver actionable insights through data analysis and advanced statistical modelling. Collaborate with underwriting, product, and commercial teams to ensure pricing is both competitive and profitable. Contribute to the development of pricing best practices and innovation within the team. … Skills & Experience Required Proven experience in a pricing role within the insurance industry . Strong technical expertise with Radar and Emblem . Solid understanding of statistical modelling, data manipulation, and analytical methods. Ability to interpret complex data and present insights to both technical and non-technical stakeholders. What's on Offer Competitive salary and benefits package. Opportunity to More ❯

core of the challenge is to ideate and deliver a complete portfolio and exposure management capability that leverages Ki's data, algorithm and internal expertise. The product will use statistical modelling techniques, visualisation and workflows to deliver a real time view of Ki's exposure to various natural and non-natural catastrophes across the entirety of our book. … You will be expected to work with the different functions within Ki including Underwriting, Marketing, Operations, Exposure Management and Portfolio Management. You will also need to be comfortable with modelling methodologies and data structures to help make trade-offs and consider options when building the roadmap. Principal Accountabilities: - Articulate longer term product direction: Set out the strategic and technical … You've applied both theory and practical experience to effectively deliver products, building a versatile toolkit adaptable to diverse situations. - You are comfortable talking and understanding technical architecture and statistical techniques, in addition to working directly with customers on how to use the product. - You have a strong track record of taking products from concept to successful outcomes, with More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights. … with marketers and business partners to define hypotheses and success metrics.- Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.- Supervise experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.- Build data/model pipelines to … in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯

Duties and responsibilities will include: Mining data from a variety of company databases and systems Preparation of data for analysis Data analysis and interpretation, identifying patterns and potential insights Statistical modeling and using machine learning techniques to identify trends and make forecasts Evaluating model performance using different metrics and refining models to improve performance Create visual representation of data … Masters degree in data science, applied data science or related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills More ❯

such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor … quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial More ❯

reporting. Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data in decision-making. Accountable for providing technical, data or modelling support for seasonal HR Events including pay review, bonus, OD work and any ad-hoc activities that arise Accountable for the accurate and timely delivery of people related statutory … Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau Data Modelling - Ability to perform statistical analysis and predictive modelling. Data Governance - Knowledge of data governance and quality assurance practices. Communication skills - collaborate with cross-functional teams, present technical info … and meet deadlines Relationship management - ability to foster relationships (and network) with external vendors, suppliers, industry peers, etc. People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Please apply to the advert for more information. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting More ❯

leveraging empathy-driven research, surveys, and digital analytics to understand user needs and behaviours Data Management - establishing enterprise-wide data governance and quality standards to enable automated analysis and modelling Strategic Partnerships - ensuring effective data exchange and insight sharing with external service providers Data Governance - developing organisational data literacy, governance frameworks, and collaborative data strategies Advanced Analytics - delivering actionable … insights through statistical analysis, predictive modelling, and data science techniques Data Engineer What's in it for You? Flexible Working Culture: Hybrid arrangements combining office presence (1-2 days per week minimum) with remote working flexibility Flexible hours and compressed working week options Part-time and job-sharing opportunities available Adaptable arrangements to suit your personal circumstances Competitive More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions – all of which will help drive our competitive positioning. This role has a strong research and development focus … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key More ❯

dashboards, reports, and visualizations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques including statistical methods, data modelling, and data cleansing What you’ll learn: Through the apprenticeship, you’ll gain skills in: Data collection, validation, and analysis Data visualization and storytelling Programming More ❯

operational teams to recommend corrective actions and performance improvements. Design and refine metrics, KPIs, and frameworks to measure and optimise business outcomes. Support business change programmes through robust data modelling and scenario planning. Champion best practices in data collection, reporting, and analysis to improve quality and accuracy. About You: 3+ years' experience in a data analyst role, ideally within … SQL, and Power BI. Experience in Python for simulation, optimisation, and data modelling. Strong analytical ability with proven track record translating complex data into clear business recommendations. Knowledge of statistical techniques and data modelling. Confident communicator with the ability to influence stakeholders at all levels. Highly organised, detail-oriented, and comfortable working in a fast-paced, matrix environment. This More ❯

dashboards, reports, and visualisations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques, including statistical methods, data modelling, and data cleansing Training Training will take place in the workplace via the training provider's online platform, as well as guided support from your More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

Scientist with experience in monitoring and alerting infrastructure. This is a pivotal hands-on role with end-to-end ownership ideal for someone who enjoys blending engineering rigour with statistical thinking in a collaborative, fast-paced environment. Key Requirements We are looking for a proactive and technically strong Data Scientist who can develop and maintain monitoring systems across distributed … data pipelines and drive data quality initiatives across multiple teams and projects. Must-have skills and experience: Proficiency in Python and SQL for analytical modelling, data interrogation, and scripting Hands-on experience with PySpark and distributed data processing at scale Production deployment of statistical or machine learning models Cloud infrastructure experience , preferably with AWS Methodical problem-solving mindset … Your responsibilities will include: Designing and implementing monitoring and alerting systems across data platforms Collaborating with stakeholders to define relevant metrics, thresholds, and KPIs Building and maintaining production-level statistical and ML models using Python and PySpark Deploying solutions within AWS cloud infrastructure Developing scalable frameworks to support future monitoring needs across departments Investigating and resolving data anomalies and More ❯

Microsoft Power Platform alongside to collect data from within the organisation and to automate key processes. Role Overview Support operational and compliance activities for registration and taxation services through statistical analysis, data modelling, and process automation. Key Responsibilities Develop a strong understanding of core data systems, third-party datasets, and new platforms related to property registration and taxation. More ❯

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯

Excellent research and analytic skills Knowledge of operational policies within Fleet Services or similar industry Understanding of company workflows, company structures, supply chains, trading and processing functions Experience with statistical models Excellent knowledge of databases and programs such as Excel or Google spreadsheets Communication skills to detail complex information in an easy-to-understand format Ability to turn complex … data and trends into visual graphs for presentation Ability to source raw data through interviews with employees, customers and clients In-depth knowledge of data modelling techniques Working knowledge of relevant business management principles Excellent attention to detail Ability to turn complex concepts into simple language Excellent verbal and written communication skills Working knowledge of word processing tools and More ❯