1 to 25 of 911 Predictive Modelling Jobs in England

for the Ritz-Carlton Yacht Collection, you will be pivotal in driving data-driven decisions that support personalized marketing strategies and optimized resource allocation. Your expertise in data analysis, predictive modeling, and segmentation will be essential for uncovering actionable insights into customer behavior, campaign effectiveness, and emerging market trends. By leveraging large datasets, your work will enhance targeting precision … strategy of the RCYC brand. Essential Functions Analyze large datasets to generate insights into customer behavior and identify trends and preferences to inform targeted marketing strategies. Develop and refine predictive models to forecast customer actions and improve marketing and business outcomes. Collaborate closely with the marketing team to optimize campaign performance through advanced data analysis and segmentation. Provide data … and reports to track key metrics, campaign performance, and business KPIs. Continuously explore and implement cutting-edge tools, methodologies, and algorithms to ensure best-in-class data analysis and predictive insights. Communicate complex data findings clearly and effectively to stakeholders, helping inform business decisions and resource allocation. Ability to operate independently and partner closely with the Technology organization to More ❯

value proposition. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression More ❯

data science, Computer Science, Engineering, Mathematics, or a related field. Preferred Experience: Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). Job-Specific Skills: Strong analytical and problem-solving abilities. More ❯

KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and … Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯

languages such as Python or R for data manipulation and analysis. Understanding of emerging technologies like automation, ML, and AI in data analytics. Experience with advanced analytics techniques, including predictive modeling and segmentation. Benefits Joining the JLA family grants access to extensive benefits, including health and wellbeing support, financial guidance, legal advice, and mental health support through our Employee More ❯

KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to … AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour … forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

and financial institutions, plan their strategies and future investment with a reliable, consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analytics in … analytics, and modelling. Key Responsibilities: Elevate Forecasts, Analytics, and Models Ensure IWSR’s forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive … decision-making and solve complex business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune More ❯

including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets : Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions : Create algorithms and tools that automate and enhance … Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming : Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to More ❯

and revenue performance. Leverage BI tools (e.g., Power BI, Tableau, Looker) and SQL to automate reporting, streamline workflows, and scale analytics capabilities. Contribute to the development and refinement of predictive models that assess customer renewal behavior and risk indicators. Identify opportunities to apply Artificial Intelligence (AI) and machine learning tools to enhance forecasting, automate insights, and optimize customer success … ensuring data quality and consistency. Strong analytical thinking and problem-solving skills, with a proactive mindset for uncovering insights and driving business outcomes. Demonstrated ability to build and apply predictive models to assess customer behavior, renewal likelihood, and churn risk, using statistical or machine learning techniques. Ability to translate data into strategic recommendations , combining analytical rigor with business acumen More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide data solutions More ❯

methods, data modeling, and machine learning Knowledge of ETL/ELT pipelines and cloud data warehousing is a plus Analytical & Communication Abilities Ability to design research methodologies and develop predictive models Strong mathematical reasoning and data validation skills Critical thinking and problem-solving skills Ability to communicate complex concepts to non-technical audiences Attention to detail and adaptability Stakeholder More ❯

KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯

KPIs. o Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable … of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support More ❯

including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate More ❯

role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail More ❯

Python/Julia). - Strong data analytical skills, including handling outliers, managing missing data, and performing basic statistical modeling. Desired: - Familiarity with Machine Learning or Statistical Learning methods for predictive modeling. - Experience in designing and building dashboards for visualizing analytical outputs. - Experience with MS Excel for data exploration or light analysis. - Experience with Tableau or Power BI for dashboard … Education Required: Minimum Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related STEM field. About the Team Within the Model Development Department, the Cyber Risk Modelling team is at the forefront of integrating the latest scientific results with insurance solutions, specializing in developing state-of-the-art catastrophe models to assess and quantify cyber risks. More ❯

to charterers, owners, and brokers, enabling smarter, more profitable, and sustainable decisions. As a key member of the Market Intelligence team, you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you will help optimize freight decisions … in the pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform. Drive measurable customer success by embedding predictive analytics and actionable insights into SaaS workflows, enabling smarter, sustainable, and more profitable shipping decisions. Enhance platform value through outcome-focused data-driven solutions that optimize market responsiveness and financial outcomes. Responsibilities … performance, and quantifying ROI to inform better decision-making. Implement frameworks to measure market coverage and responsiveness, ensuring the platform evolves in line with dynamic market needs. Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping decisions. Apply advanced statistical techniques More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯