1 to 25 of 82 Predictive Modelling Jobs in England

person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Essential Functions Utilize data science to conduct research on business topics relevant for digital insights team. Use quantitative … external) and program or leverage existing tools to acquire the data (e.g. SQL, APIs, scrapers, etc.) and test quality. Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account. Work on strategic and operational workforce planning modelling to enable short‐term ...

model packaging decisions across multiple markets. As this platform evolves, there’s a clear opportunity to go further - moving beyond reporting and compliance into predictive modelling, optimisation, and AI-driven decision support. This role will play a key part in enabling that shift, ensuring the data platform … scalable, traceable, and aligned to both regulatory and product needs. As the platform matures, you’ll also help enable more advanced capabilities, including predictive modelling, scenario optimisation, and machine learning use cases, ensuring the data foundations are built to support them properly. What You’ll Be Doing ...

client growth levers through insight‐led thinking. Data, Insights & Analytics Leadership Lead a high‐performing multi‐disciplinary data and insights organisation. Oversee analytics, reporting, predictive modelling, and data governance. Translate complex data into clear, actionable insights for senior leadership and clients. Ensure data is managed ethically, consistently … senior level. Strong commercial acumen, ideally within FMCG, retail, or agency environments. Deep expertise in data analytics, BI tools (Power BI, Tableau), predictive modelling, and large‐scale data ecosystems. Exceptional communication skills with the ability to simplify complexity. Experience in organisational transformation and embedding analytics at scale. Collaborative ...

outstanding opportunity has arisen for a Senior Quant Analyst with a passion for sports, data, and quantitative modelling to join a high-performing and innovative team based in Central London. This role is ideal for an experienced quantitative professional who thrives on solving complex analytical problems, working with large … quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. Alongside a highly competitive salary, the company offers an exceptional office environment and the opportunity to work ...

outstanding opportunity has arisen for a Senior Quant Analyst with a passion for sports, data, and quantitative modelling to join a high-performing and innovative team based in Central London. This role is ideal for an experienced quantitative professional who thrives on solving complex analytical problems, working with large … quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. Alongside a highly competitive salary, the company offers an exceptional office environment and the opportunity to work ...

decisions, with the ability to encourage and influence stakeholders. Key Technical Responsibilities Data Science Best Practices: Drive best practices in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually set the standard on data science benefit. Engineering Best Practices: Be responsible for the implementation … games and platforms, partnering closely with product and engineering to ensure end-to-end solution success. What we need from you Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics. PHD or MSc or equivalent experience in Data Science, Computer Science, Satistics, Physics or related field 5+ ...

degree customer view Drive development of robust data infrastructure, governance and self service analytics tools Lead advanced analytics and strategic insight initiatives, including predictive modelling and AI driven approaches Translate complex analytics into clear, actionable recommendations for senior stakeholders Champion innovation in tools, techniques and methodologies across customer … analytics strategy in a complex organisation Deep expertise in data architecture, integration and connectivity across cloud platforms, SQL and APIs Advanced capability in analytics, predictive modelling, machine learning or AI driven insight Proven ability to design and maintain integrated customer data assets Confident communicator, able to influence senior ...

data is a strategic asset across Marketing and the broader enterprise. This role is central to our ambition to build marketing systems that are predictive, insightful, and connected to consumer needs. Beyond data collection, this leader will be accountable for translating consumer data into activation, measurement, and sustained business … activation into a discipline of continuous intelligence. This future will enable brands to anticipate consumer needs, orchestrate personalised experiences at scale, and generate predictive insight with speed and precision. The role will help shape the future, built through meaningful exchanges and activated through intelligent systems that are transparent ...

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 ...

Agentic AI solutions Strong SQL and data manipulation experience Experience working with cloud platforms (AWS, Azure, or GCP) Understanding of statistics, predictive modelling, and data analysis Excellent communication and stakeholder engagement skills Desirable Experience with LangChain, CrewAI, AutoGen, or similar frameworks MLOps/CI-CD experience Vector databases ...

facing consulting, with a fast track to Management. Typical work includes: Customer behaviour analysis and segmentation Marketing and CRM performance analytics Loyalty and retention modelling Web, product, and digital analytics Predictive modelling and forecasting Applied GenAI/LLM use cases in customer and marketing contexts Personalisation … optimisation initiatives Requirements Strong hands-on Python and machine learning experience Ability to build and deploy predictive models (classification, regression, clustering, forecasting) Experience working with customer, CRM, marketing, or digital behavioural data Exposure to GenAI/LLM-based applications (build, evaluate, or implement use cases) SQL proficiency Strong stakeholder ...

process mining and optimisation initiatives (e.g. Celonis) Analytics & Decision Intelligence Deliver data-driven insights through advanced analytics and BI platforms (Power BI, Looker) Enable predictive modelling and optimisation using modern ML toolkits Security, Compliance & Responsible AI Ensure alignment with enterprise security standards (SOC2, ISO27001, NIST) Champion explainability, bias ...

join a well established data and analytics consultancy where data science sits at the heart of client delivery. You will work on commercially meaningful modelling projects, have regular exposure to end clients, and see your work directly influence real world decision making across large consumer datasets. The Company They … specialist data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling expertise. Operating as a solutions led partner, they support organisations across sectors such as utilities, telecommunications, financial services and the not for profit space. Their work focuses heavily on predictive modelling ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python ...

Company They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit … organisations, with a strong focus on predictive modelling for marketing and customer insight. The Role Build and refine predictive models, with a strong focus on propensity and scorecard style modelling. Translate client problems into analytical solutions through data discovery and stakeholder workshops. Work closely with subject matter ...

broad range of projects and industries. The role: Deliver insight and analysis that supports data driven marketing and commercial decision making. Build and apply predictive models and machine learning techniques to optimise client strategies. Prepare, cleanse, and manipulate data from multiple sources to ensure it is analysis ready. Translate … commercial experience in data analysis or data science. Confident using Python or R for statistical analysis and modelling. Solid understanding of statistical methods and predictive modelling techniques. Experience working with SQL and data visualisation or BI tools. Ability to communicate insight clearly and work collaboratively with a range ...

finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline … consumers to access the most suitable financial products, whilst supporting our customers in discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost ...

technology Programming experience in Python and SQL Basic statistics knowledge including regression analysis, outlier detection, and time series Exposure to machine learning or predictive modelling Good working knowledge of analytical and presentation tools (e.g. Excel, PowerPoint, Google Sheets, Google Slides) Ability to break down complex problems, translate data ...

insights and storytelling. Strong strategic thinking, problem-solving, and communication skills. Preferred: Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross-regional teams. Familiarity with data governance, privacy, and regulatory requirements ...

data wrangling, feature engineering, and scalable data pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement ...

scale proprietary data with advanced analytics and insight delivery. We develop and maintain our own data and analytics products, supporting clients with customer insight, predictive modelling, and commercial decision making. Our work spans sectors including energy, financial services, charities, and consumer brands. The Role Work directly with clients ...

practice, and develop strong partnerships across industry Ensure responsible, ethical and scalable AI delivery Own end‐to‐end delivery of AI solutions (forecasting, optimisation, predictive models, etc.) Ensure solutions are scalable, secure and aligned to governance and regulatory standards Lead best practice across MLOps, model governance and lifecycle management ...

lead for primary vendors (OneAdvanced/ProSolution) and third-party FE integrators. Business intelligence and analytics: Design and deploy sophisticated Power BI dashboards, develop predictive models to identify at-risk learners and funding risks, lead data warehousing and ETL processes, and maintain a single trusted version of the College ...

will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact. Key responsibilities include: Developing and enhancing media mix models to measure and optimise marketing investment. Scaling an established UK modelling framework and applying it to international markets. Leading the evolution of marketing effectiveness modelling, with support and one direct report. Working closely with marketing, CRM, and analytics stakeholders to turn insights into action. Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems. ...