101 to 125 of 392 Predictive Modelling Jobs in England

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM),predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling,analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

business results. Strong product analytics skills including metrics design, funnel analysis, cohort analysis, segmentation, behavioural analysis, feature performance assessment, customer journey analysis, experimentation, forecasting, predictive modelling, causal inference, or other advanced analytical techniques. Experience with product analytics, engagement, BI, and visualisation tools such as Mixpanel, Amplitude, Customer.io, AppsFlyer ...

Data Scientist in Manchester to drive analytics for Sales, Marketing and Finance. You will turn business questions into measurable analytics use cases and build predictive models using Python/R, SQL, and Azure, surface insights in Power BI and CRM Analytics. You will productionise data pipelines, collaborate with commercial ...

that combine models, enterprise data, APIs, software components, user experiences, and human workflows. Guide the implementation of agentic workflows, retrieval-augmented generation, enterprise search, predictive models, and AI capabilities embedded in digital products. Determine when to use deterministic software, machine learning, large language models, human review, or a combination ...

systems, vendor platforms) to standardise and optimise workflows. Provide data‐driven insights to senior management on vendor performance, spend optimisation and risk exposure. Develop predictive models and trend analyses to support demand planning, vendor strategy and financial forecasting. Ensure transparency and accuracy of vendor‐related financial and operational data ...

learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design ...

insights and storytelling. Strong strategic thinking, problem-solving, and communication skills. Preferred Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross-regional teams. Familiarity with data governance, privacy, and regulatory requirements ...

leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others ...

some of the following areas would also be beneficial: Generative AI and machine learning concepts and applicationsStructured and unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience … VBAExperience in applying various analytical techniques (e.g. na ve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning. Experience of working in teams, managing the workload of junior team members, and coaching junior staffInterest in emerging AI technologies ...

Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. Solid grounding in data architecture, modelling and modern data platform design. Cloud experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science … leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture and platform strategy. Join a small, high-impact team at the heart of the company ...

Data Scientist Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team … will apply machine learning, predictive modelling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing. What You'll Do · Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. · Shape the Platform: Collaborate with Data ...

data into compelling stories that influence business outcomes. You'll play a key role in shaping how we understand our customers, using segmentation and predictive modelling to drive smarter decisions and measurable growth. You'll work independently, owning projects and stakeholder relationships, while being part of a close … projects that support strategic Product and Marketing initiatives Developing customer insights that inform targeting, positioning, and growth strategies Building and deploying segmentation models and predictive models to better understand customer behaviour Translating complex analysis into clear, engaging narratives that drive action Managing stakeholders across Product and Marketing, aligning analytical ...

powering commercial decision-making across the business. In this role, you’ll take that foundation to the next level by designing, building and deploying predictive models that directly influence some of the most important drivers of Raylo’s growth - from credit risk and customer retention to personalised recommendations. … prediction to recommendation systems You’ll partner closely with teams across product, engineering, risk, operations and commercial to identify high-impact opportunities for advanced modelling and take them from ideation through to action. You’ll combine deep technical expertise with strong communication skills, translating complex modelling approaches into ...

analytics Build AI and machine learning solutions using our rich data, including product holding, demographics, product usage, customer service interactions and customer metrics Develop predictive models for churn, lifetime value, customer segmentation and other customer-focused use cases Explore and build AI agents that automate analysis, speed up insight … members, planning tasks and delegating appropriately What you’ll bring Essential criteria: Strong hands-on experience in advanced analytics and machine learning, including forecasting, predictive modelling, optimisation and clustering Proven track record of building and deploying large-scale AI/ML solutions in cloud environments Ability to quickly ...

warehouses, with Snowflake experience a plus.• Experience designing propensity, risk, retention, migration, or customer value models.• Familiarity with customer segmentation techniques, behavioural analytics, and predictive modelling approaches.• Exposure to Power BI or other visualisation tools for communicating insights effectively.• Experience working across commercial, product, finance, and strategy functions. ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior ...

static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What Will You Do Reporting to a Director of Engineering ...

collaborating cross-team to define data requirements, analyze product metrics, resolve data gaps. Proficiency managing large, complex datasets. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems. Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into ...

Media Mix Modeling, brand lift studies) for a major regional or global brand. Proficiency managing large, complex datasets. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems. Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into ...

clear, compelling, and concise manner using Keynote. Preferred Qualifications Advanced proficiency in statistical programming languages (e.g., Python, R) for deep-dive behavioural analysis and predictive modelling. 5+ years operating in an international or regional capacity, successfully navigating fragmented data sets across multiple geographies. Deep passion and knowledge regarding movies ...

understand problems, develop solutions and assess wider business impact. Build statistical models and machine learning approaches that turn data into decisions. Develop and deploy predictive models that solve business and operational challenges. Work with large and complex datasets from diverse sources. Create visualisations, dashboards and reporting tools that communicate ...

architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial ...

organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series ...