51 to 75 of 82 Permanent Predictive Modelling Jobs

identifying new market opportunities, using insight, analytics, and technology to drive commercial success. Key areas of responsibility include: Revenue Intelligence & Forecasting Build and manage predictive revenue models (pipeline, churn, expansion) Improve forecasting accuracy across commercial functions Turn complex commercial data into actionable leadership insights Growth & Market Intelligence Identify … love to hear from candidates with experience in: New business development and account growth SaaS, data, technology, analytics, or commercial insurance environments Predictive modelling, AI-driven insights, or commercial forecasting Translating technical concepts into compelling customer outcomes Influencing senior stakeholders, including C-suite audiences Experience with data platforms ...

need to thrive in your first data and AI role. The training covers the following modules: AI & Data Essentials Insight Analytics Programmatic Data Wrangling Predictive Modelling Advanced AI Topics Consultancy Skills Graduation As part of your graduation from the Academy, you'll achieve two industry-recognised certifications . ...

closely with product, engineering, analytics and business teams Current environment: • Databricks • Customer-facing product platform • NLP model processing structured and unstructured data • Ensemble-based predictive model forecasting performance and longevity outcomes We're looking for someone with: • Strong NLP and supervised machine learning experience • Experience managing production-grade ...

program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations ...

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 … 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 Science, Advanced Analytics or similar ...

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. The Day-to-Day: Oversee assigned complex ...

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. The Day-to-Day: Oversee assigned complex ...

just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative … within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build ...

Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks Conduct data cleaning, filtering, transformation, and feature engineering … associated data science libraries and tools Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI/LLM models Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering Experience creating and using synthetic data and privacy-preserving data techniques Working knowledge ...

data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Ultimately, you will deliver high-impact strategic insights on market sizing and customer propensity … record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python skills for data manipulation, statistical analysis, and predictive modelling. Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance. Experience with propensity modelling ...

sector organisations to extract high-value insights through advanced scientific methodologies. We are seeking Senior Consultants who can bridge the gap between complex mathematical modelling and strategic business outcomes, with a specific focus on the emerging frontier of Agentic and Generative AI. The Mandate: Agentic AI & Advanced Analytic sThis … beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding of statistical modelling, natural language processing (NLP), and time-series analysis, combined with the ability to demonstrate the tangible business value of AI to senior stakeholders. Candidates ...

drive measurable impact. The Role Deliver data science within a pricing-focused environment, influencing rates, tariffs and overall market competitiveness Design, build and refine predictive models to better understand risk, customer behaviour and price sensitivity Identify and integrate new data sources to improve pricing accuracy and decision making … simulation and modelling techniques to estimate outcomes such as claim frequency and customer responses to price changes Translate complex analysis into clear, commercially focused recommendations for senior stakeholders Your Skills & Experience A strong academic background and Masters degree in a STEM discipline such as mathematics or physics Advanced analytical ...

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 ...

operational practices for deploying, monitoring, and maintaining LLMs in production environments Data science and model development: Ability to build, evaluate, and deploy bespoke predictive models where off-the-shelf AI approaches are insufficient, with practical experience in model training, feature engineering, and evaluation Python: Clean, production-quality code under … reliability Data pipelines: Comfortable building and maintaining ETL/ELT pipelines connecting messy source systems to AI applications SQL: Solid querying and data modelling skills AI model management: MLFlow, Hugging Face, or equivalent Nice to have Experience with time-series modelling, anomaly detection, or forecasting in operational ...

flows, single source of truth, field controls, and data accuracy and completeness. Align curated datasets to use cases in pricing, staffing, growth, benchmarking, and predictive modeling. Anticipate downstream modeling needs and proactively shape data structures. Evaluate the usefulness and signal strength of emerging internal and external data sources, including … generated billing analysis, time-entry efficiency data, predictive pricing signals, market intelligence feeds, and other relevant data sources. Evaluate quality and fit by, where appropriate, bringing data into sandbox environments to actively understand and challenge what's available from third parties. Assess scalability, governance implications, business value ...

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 ...