301 to 325 of 392 Predictive Modelling Jobs in England

making a meaningful difference for our customers every day. Role Purpose The Senior Data Scientist will lead high-impact strategic projects across Market Modelling from discovery to implementation. The role will provide specialist resource across the Market Pricing teams, accelerating delivery and addressing priority challenges. The role will build … implement market models that improve price competitiveness, profitability and growth. This is a senior individual contributor role with ownership of complex modelling work and its delivery into live pricing. A key part of this role will be autonomous project management. Alongside this will be coaching and mentorship of junior ...

partner with scientists, engineers, product teams and business stakeholders to turn complex data into solutions that solve real customer problems. From developing predictive models to improving analytical approaches and supporting decision‐making, your work will have a direct impact on our products, customers and future growth. This role sits … clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight easy to use. Work closely with cross-functional ...

data from multiple sources to ensure quality and accuracy. Applying statistical analysis and machine learning techniques to solve business challenges. Building, deploying, and maintaining predictive models that deliver tangible value. Developing and enhancing AI and machine learning solutions using modern cloud-based tools. Creating dashboards and visualisations that communicate … commercial experience delivering data science solutions. Excellent Python or R programming skills. Strong SQL capabilities for data extraction and analysis. Experience with forecasting, statistical modelling, and machine learning techniques. Knowledge of the full data science lifecycle from model development through to deployment and monitoring. Experience working with cloud platforms ...

data from multiple sources into useful data, improving quality, integrity and accessibility. Develop and test architectures that enable data extraction and transformation for predictive modellingAutomate any repeatable and error prone data integrations and data preparation flowsManipulating and cleaning data, fulfil daily ad-hoc data requests and troubleshoot difficult technical … Qlik, Power BI, TableauContainerisation technologiesGoogle Cloud Platform (GCP): Data manipulation/transfer modulesReporting, data warehousing, data science and quantitative analysis techniques. Data warehousing, data modelling and the creation of meaningful data visualisationsMy client is based in Central London with Flex work from home. ETL, Data, Python, Perl, Unix ...

extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience … process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. ...

ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy of data that drives high-stakes servicing interventions at scale. Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers … identifying innovative solutions that drive operational improvements. You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation. You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/ ...

London seeks a Lead Alpha Researcher to join our Systematic Equities team. You will lead a senior research effort, developing and scaling alpha generation, predictive modelling, and machine learning across our global equities business. You will manage researchers across Europe, shape the research agenda, and drive production deployment ...

Performance Engineer to collaborate with AI researchers and software engineers. You will instrument and collect granular metrics from inference and training jobs to build predictive models of software optimisations and hardware changes. Your work will influence hardware purchasing decisions and architectural optimisations to keep AI workloads fast and cost ...

join a training program to enhance trading, programming, and quant research, with in-house courses and simulations delivered by experienced colleagues. You will build predictive models, leverage one of the world's largest supercomputers, and devise automated strategies to test in markets. #J-18808-Ljbffr ...

looking for experienced quantitative researchers to develop high to mid frequency delta one trading strategies and predictive models for Equities markets. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution ...

services. You will collaborate with analysts and traders to develop market forecasts and productionise models. You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities. #J ...

join the Pricing and Proposition team, flexible between Haywards Heath or Salford Quays. You will work in Telemetics Pricing, using behavioural data, analytics, and predictive modeling to shape pricing strategy and drive commercial performance. This role offers predominantly home-based work with one day per month in the office ...

Cardiovascular Epidemiology Unit (CEU) and CBSGI at the University of Cambridge as a postdoctoral researcher. The role focuses on using AI to create predictive models of biological processes and to analyse genomic, multi-omic and health-record data at population scales. The ideal candidate will lead projects that develop ...

team as a VP of AI and help virtualize biological experiments to accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive ...

team as a VP of AI and help virtualize biological experiments to accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive ...

This is a very interesting project focused on pricing optimisation for insurance companies, using an ensemble of predictive models. The tech stack includes: pandas, numpy, PyTorch, SHAP, and scikit-learn. We are looking for candidates with experience in building predictive models for time series, strong attention to detail … support hypothesis testing and data-driven decisions during EDA Implement data preparation and feature engineering pipelines for the models Plan and implement algorithms for predictive modeling. Provide continuous improvement of models in production Lead the ML-driven python coding for end-to-end model deliveries, support our ML-related ...

critical business areas. Operating within Agile cross-functional squads, they lead teams to scope, design, build, deploy and maintain scalable, production-ready solutions - including predictive models, optimisation engines, and decision-support tools - that integrate seamlessly with business processes and technical infrastructure. The Principal Data Scientist delivers in line with … manipulates complex and large raw data to ensure high-quality inputs for models Designs, builds and trains data science products such as business models, predictive analytics tools, recommender systems, natural language processing, anomaly detection, forecasts, optimisation models and decision support systems Works with Digital teams to productionise models ...

Data Architects to implement target‐state data models and modern data engineering principles. Partner with data scientists and analysts to operationalise advanced analytics and predictive models. Manage integrations with insurer portals and external data providers, ensuring high‐quality, timely and secure data flows. Support the organisation's ambition … data platforms. Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

Data Architects to implement target-state data models and modern data engineering principles. Partner with data scientists and analysts to operationalise advanced analytics and predictive models. Manage integrations with insurer portals and external data providers, ensuring high-quality, timely and secure data flows. Support the organisation's ambition … data platforms. Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

organization. Job Responsibilities - Legacy Section Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights. Drive digital, web, demand and pipeline analytics. Build and refine predictive and diagnostic models to support ...

process and change within the organization. Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights. Drive digital, web, demand and pipeline analytics. Build and refine predictive and diagnostic models ...

feature engineering, model development, and deployment. Working with large and complex datasets, you'll use Python, PySpark, SQL, and Azure Databricks to develop robust predictive models and analytical solutions. Just as importantly, you'll be able to explain your findings in a clear and engaging way, helping stakeholders understand … work on highly visible projects that directly shape the experience of millions of customers. Key responsibilities Develop and deploy machine learning and predictive analytics solutions that address key business challenges and deliver measurable commercial outcomes Explore, profile, and analyse large and complex datasets to identify trends, opportunities, and features ...

drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics. Create and maintain analytical tools used to manage and optimise risk portfolios. … Identify, assess, and utilise new data sources to improve model performance and business outcomes. Engineer new predictive features that can be incorporated into pricing algorithms. Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring. Collaborate with Data Scientists, Data Engineers ...

engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure … performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training ...

shaping data-driven digital experiences across our direct-to-consumer products in London. You will own the Product Analytics strategy, roadmap and delivery, building predictive models and implementing experimentation to optimise customer journeys, engagement and retention. Lead a high-performing team, partner with Product, Design and Engineering, and embed ...