19 of 19 Predictive Modelling Jobs in the South East

will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information … dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

technical stakeholders Ensure best practices in model performance, explainability, robustness and governance Stay at the forefront of emerging techniques, particularly within forecasting and predictive modelling Mentor team members and help build technical capability across the team What We're Looking For Essential experience: Experience in Data Science with … proven track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across ...

lead for AI adoption across the marketing, commercial, and product teams to accelerate insight generation and deliver efficiencies Introduce and apply reusable predictive modelling using data-science techniques to support performance Create dynamic dashboards Evaluate multiple data sources to investigate complex business problems, draw out knowledge, and provide … insights to guide product development and business strategy Skills and experience: Proven experience working in a similar Commercial Data Analyst role, including data preparation, modelling, analysis and visualisation techniques such as predictive analysis, business intelligence, pattern recognition, economic modelling Advanced SQL skills for transforming and aggregating large ...

delivery of analytical solutions that provide accurate, relevant, and actionable business insights. Apply a range of analytical techniques, from descriptive reporting through to advanced predictive and machine learning models. Coach and develop Data Analysts, enhancing both technical and professional capabilities in partnership with the Team Manager. Support the management … enterprise-wide self-service analytics capability, promoting best practices in tools, methodologies, and data governance. Mentor team members in advanced analytics techniques, including: Predictive modelling Supervised machine learning Customer segmentation Scenario simulation and forecasting Collaborate with stakeholders across the business to identify opportunities where advanced analytics can drive ...

What You’ll Do: As a Data Scientist, you will: Transform raw data into meaningful insights that drive strategic decision-making. Develop and implement predictive models and algorithms to enhance our products and services. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. ...

drives commercial strategy. THE ROLE This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches. Specifically, you can expect … involved in: Building and enhancing pricing and risk models using large, complex and messy datasets. Developing predictive and residual models to better understand expected versus actual outcomes. Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy. Supporting the progression of existing models ...

closely with cross-functional teams to integrate data insights into marketing campaigns, product development, and commercial strategies. Utilize advanced analytics techniques, including machine learning, predictive modelling, and statistical analysis, to generate deeper insights. Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulatory ...

Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues. The environment … impact quickly. Interesting opportunity for individuals coming from: front-office banking systematic trading quant research applied AI/ML electronic trading hedge funds advanced predictive analytics environments Interview process includes technical deep-dives and presentation of prior projects/implementations. London based. Message me directly for a confidential discussion. ...

challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You'll work closely with process engineers, technicians and material scientists to deliver high ...

enhancing real-time market data infrastructure supporting research and trading systems Building scalable platforms that enable quantitative researchers to develop, validate, and deploy predictive models Creating simulation and backtesting environments capable of supporting large-scale experimentation Developing research tooling and frameworks that improve productivity across quantitative teams Engineering reliable ...

intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped … customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure ...

role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment … dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis ...

Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations … emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling ...

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 … customer behaviour, operational performance and product outcomes. We believe a key part of your impact will come from your ability to take analytical or predictive models through to production ensuring they're robust, scalable and usable in real-world decision-making. We will need you to translate sophisticated findings ...

surface actionable insights for school leaders in seconds.They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The team is mission-driven, remote-first, and growing quickly - every hire has very meaningful impact.They are looking … Senior Data Scientist to lead the predictive analytics capability and their critical programme.You’ll design feature engineering pipelines, select and validate classification and regression models, and establish rigorous evaluation methodology (targeting AUC-ROC 0.85) across a 300M+ point education dataset.You’ll be the senior technical lead for ML research ...

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 ...

London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company … data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. ...

capabilities and embedding innovation across the business. THE ROLE As an AI Consultant you will focus on developing AI-driven solutions and enhancing modelling capabilities to support client projects and internal innovation. Specifically, you can expect to be involved in the following: Develop and enhance AI and machine learning … models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research and development to identify new AI-driven solutions in lending and risk. Contribute to new product development and AI-led offerings. Support the integration of AI into broader ...