76 to 93 of 93 Predictive Modelling Jobs

including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs … user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed ...

including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs … user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed ...

including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs … user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed ...

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 ...

Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine … data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability ...

prevent avoidable hospitalizations and transform senior‐care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical‐grade accuracy Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance Enterprise integrations that embed insights directly into EHR, care‐coordination … that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams ...

huge savings on everyday brands. Opportunities to buy and sell annual leave Key Responsibilities: You’ll champion the use of data, advanced analytics and predictive insight models to identify opportunities early and support more preventative, proactive service delivery. Drive the development and monitoring of dashboards, KPIs, benchmarking, and performance … management, or a related field. You’ll hold PL300 – Power BI Data Analyst Associate or an equivalent certification. Skilled in using business intelligence tools, predictive models, reporting systems, performance dashboards, data visualisation, and Excel. An excellent communicator and collaborator, with experience of translating complex data into clear insights. ...

related quantitative discipline Strong commercial experience developing machine learning models in Python using frameworks such as PyTorch, JAX, or TensorFlow Experience building predictive models for time-series, forecasting, signal generation, or large-scale data analysis Strong understanding of statistics, probability, optimisation, and quantitative modelling techniques Experience working with … fast-paced environments Desirable Experience Experience within quantitative trading, hedge funds, systematic investing, market making, or financial technology Knowledge of alpha generation, factor modelling, portfolio optimisation, or execution modelling Experience with reinforcement learning, probabilistic modelling, Bayesian methods, or deep learning for financial applications Familiarity with market data ...

want to work on pricing models that challenge the status quo? Have you ever built predictive models on large, messy customer datasets? Are you ready to experiment with new modelling approaches inside a major UK insurer? A leading digital-first UK insurer is hiring a Senior Data Scientist … join a specialist pricing innovation team. The business serves over two million customers and has invested heavily in data infrastructure and modern modelling capabilities. This team acts as a pricing R&D function, experimenting with new modelling techniques and data sources to challenge and improve traditional pricing approaches. ...

analytics demonstrably support customer, resilience, environmental, compliance and value outcomes. Lead the asset intelligence framework and capability for performance, condition, asset health indicators and predictive models, strengthening data quality, information assurance and asset knowledge management across the asset lifecycle. Work across Operations, Engineering, IT/Digital, Planning and governance … asset-intensive environment, with understanding of regulators requirements and standards. Familiarity with asset health frameworks and tools such as condition grading systems, risk modelling or predictive analytics software, and awareness of emerging digital innovations in asset management. Experience contributing to or leading asset management transformation, data improvement ...

into the organisation. Key Actions Work closely with our Data Engineering team to deliver reliable, high-quality data that powers strong data flows and predictive models Use a range of languages and tools to build and manage robust data pipelines across multiple systems Contribute to key decisions that drive … data lakes (on-prem & cloud) Hands-on with Big Data tools, data ingestion and streaming Experience working with data lakes and visualisation (incl. semantic modelling) Strong understanding of data architecture Confident stakeholder engagement and cross-team collaboration Passion for sharing knowledge and supporting team development So, whats ...

over US) Zip Code: 95014 Top 3/5 Skills: Agentic AI depth, Orchestration, LangGraph, CAPA Claude/Anthropic: Claude production expertise MCP Server, Predictive ML/statistical analytics Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00/hr. - $82.00/hr. Job Responsibilities Title … failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Core ML & Statistical Analysis for Manufacturing Solid foundation in predictive modeling, clustering, time series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals, and failure trends. Manufacturing Data Platforms & Engineering ...

infrastructure, including robust back-testing frameworks and scalable data pipelines. Contribute to inventory management, hedging and pricing strategies to optimise trading performance. Help expand modelling capabilities across additional asset classes over time. Collaborate closely with trading and technology teams to translate research into production-ready models and tools. Monitor … years of experience in a quantitative research role, ideally within systematic trading, market making, or a quantitative fund. Proven experience in feature engineering and predictive model building. Solid understanding of risk management with a track record of working on systematic trading strategies. Strong experience in equities markets. Strong 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 ...

lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule–host pathway effects o omics signature prediction o clinical response forecasting o safety and developability scoring … discovery with an agreed split strategy (sample, cohort, and time splits) and reporting baseline ranking metrics (e.g., hit-rate@K, NDCG@K) ● Build initial predictive baselines with clear metrics Month 3–6: Modelling & Optimisation ● Implement multi-criteria scoring + optimisation with a defined objective, weighting strategy, and ablation ...

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 ...

ensuring Yorkshire Water has a clear understanding of sewer flooding risk, customer impact, operational drivers and long term network behaviour. We provide leadership across modelling, analytics, reporting and performance frameworks, the team translates insight into actionable delivery plans that improve customer outcomes, reduce flooding incidents, drive efficiency and strengthen … commitments. Provide high quality, data driven insight that informs operational, tactical and long term decision making across the business. Govern and assure predictive models, dashboards and analytical outputs, ensuring accuracy, consistency and a single source of truth for performance reporting. Drive targeted improvements by leading root cause analysis, scenario ...