17 of 17 Remote/Hybrid Permanent Statistical Modelling Jobs

authority and operator data Develop high-quality dashboards, reports and data visualisations using tools such as Excel, Power BI, GIS, Python or R Apply statistical and analytical techniques to support forecasting, modelling and scenario analysis Build and maintain robust evidence bases to support key strategies, including the Mayor … visualisation tools such as Excel, Power BI, Python, R or SQL Proven ability to work with large and complex datasets, applying analytical and statistical techniques Experience developing dashboards, automated reports and repeatable analytical processes Experience using GIS software for spatial analysis and mapping Strong problem-solving skills and attention ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement frameworks … engagement, revenue and profitability Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data ...

through data-driven insight and technical modelling. You'll work closely with experienced pricing specialists and cross-functional teams, supporting live pricing decisions through modelling, forecasting, optimisation and analysis. The Role As a Technical Pricing Analyst, you'll be involved in: Building and enhancing pricing models to predict customer … optimisation activity Developing forecasting models and monitoring performance against forecasts Preparing, validating and reconciling datasets to support robust pricing analysis Exploring new data sources, modelling techniques and analytical tools Monitoring model performance and recommending improvements where required Working closely with Pricing, Finance, Marketing, Insights and Compliance teams Supporting pricing ...

years of relevant experience (or 12 years with a Bachelor's degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling. Demonstrated experience leading project teams or teams conducting substantial work streams on larger projects. Demonstrated experience working with Medicare and/or Medicaid administrative ...

large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering … Scientist, and wider data and commercial teams. Key responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development ...

focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data … sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong ...

manipulating large-scale customer, transactional, or behavioural datasets to deliver accurate, high-impact analysis independently. Experience in using advanced analytical techniques (e.g. causal inference, statistical modelling, predictive methods) and a strong desire to continue expanding this toolkit with programming languages such as R and Python, including the effective ...

using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd-party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity ...

Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including ...

department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. ...

department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

Analytics Hub function and areas that feed into the team. We would like you to bring in experience of using techniques such as regression modelling, significance testing, forecasting and multivariate analysis to uncover significant patterns in sophisticated data. Develop, compose, implement and evaluate hypothesis-driven experiments, using frameworks … partnering with operational leaders to identify risks, opportunities and continuous improvement initiatives. Key Skills & Experience Strong analytical background with experience building and maintaining statistical and predictive models Advanced in SQL and Python Expertise in regression modelling, forecasting, significance testing and multivariate analysis Experience designing and evaluating hypothesis-driven ...

processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk … only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. ...

grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN. This team works alongside the Data Scientists to build complex algorithms to support … mathematical and statistical problems. What will you do? Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings Own the full life cycle from concept, to research, through to productionisation and performance monitoring Collaborate closely with data scientists and quant researchers ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally alongside ...

actuarial pricing solutions within insurance Strong understanding of insurance products and pricing methodologies across relevant lines Solid knowledge of actuarial methods, rating concepts, statistical techniques, modelling and pricing governance Experience working with clients on transformation or implementation programmes Ability to operate in cross-functional agile teams and work ...