1 to 25 of 30 Predictive Modelling Jobs in the South East

description Job responsibilities 1. Data Analytics & Information ProvisionLead on Data Analysis: Perform advanced data analysis, applying statistical methods, business intelligence tools, and data modelling techniques to generate insights that support the Trusts strategic objectives across multiple areas, including performance, quality improvement, benchmarking, and operational efficiency.Reporting and Interpretation: Create … peers and identifying areas for improvement. Support the interpretation of national policy and assess its local impact in terms of activity, quality, and performance.Scenario Modelling: Use predictive modelling and forecasting techniques to simulate potential outcomes based on different strategic decisions, enabling senior management to make data-driven ...

works best for you. Job Description The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last-mile delivery & returns. The role … Details Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns. Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements) Collaborate with supply chain, technical, and senior management teams to present ...

works best for you. Job Description The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last-mile delivery & returns. The role … Details Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns. Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements) Collaborate with supply chain, technical, and senior management teams to present ...

works best for you. Job Description The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last-mile delivery & returns. The role … Details Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns. Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements) Collaborate with supply chain, technical, and senior management teams to present ...

works best for you. Job Description The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last-mile delivery & returns. The role … Details Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns. Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements) Collaborate with supply chain, technical, and senior management teams to present ...

learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths ...

learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths ...

learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths ...

learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths ...

problems and unlock value through data Translate operational and business challenges into thoughtful, practical analytics and data science solutions, including demand forecasting, optimisation and predictive modelling Create metrics, reports and dashboards that tell a clear story, enabling leaders to make confident decisions about customer experience, resourcing and performance ...

They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross ...

hours/week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines ...

hours/week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines ...

hours/week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines ...

hours/week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines ...

network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources ...

deliver progress. What you’ll do and how you will make an impact. What You’ll Do Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement. Develop and refine sophisticated models to measure and predict key commercial outcomes ...

data management, design optimisation, model integration, and production quality assurance. Key Responsibilities Design, develop, and maintain platforms for: Data management, traceability, and visualisation Predictive modelling and optimisation Material composition design Component design and build preparation Statistical process control and production quality assurance Work within an agile development team ...

contract. Inside IR35 Hybrid Responsibilities: Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools ...

deliver iterative, production-ready solutions that make our packaging systems faster, smarter, and more reliable. What you'll need to succeed Not the classic "predictive modeling" skillset. Required skillset: Exploration vs. exploitation mindset. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities ...

behavioural clusters and look-a-like groups. Use customer insights and engagement data to drive journey optimisation and channel performance. Support retention and propensity modelling, translating outputs into actionable CRM programmes. Collaborate with marketing, data, engineering and operations to align CRM activity with business goals. Required Experience & Skills Proven … communicate insights clearly to both technical and non-technical stakeholders. Desirable Experience integrating CRM with platforms like Twilio or similar APIs. Exposure to predictive modelling (e.g., churn/engagement propensity). Experience in complex or multi-data-source environments. Robert Walters Operations Limited is an employment business ...

cross-functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous … days are the same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements ...

cross-functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous … days are the same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements ...

cross-functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous … days are the same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements ...

cross-functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous … days are the same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements ...