26 to 50 of 256 Predictive Modelling Jobs in London

service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production. The ideal candidate combines strong technical expertise with commercial awareness … WHAT YOU'LL BE DOING AI & Machine Learning Solutions Design Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems ...

that they are both competitive and profitable. About the role: The role holder is responsible for defining and leading the delivery of UKLB's Predictive Analytics initiative to support growth across all its lines of business by developing predictive models and harnessing data driven insights to meet … ambitions. Key Responsibilities: Define and deliver the Predictive Analytics roadmap to deliver data driven stakeholder value for UKLB and our clients. Establish and lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production. The ideal candidate combines strong technical expertise with commercial awareness … business value. WHAT YOU'LL BE DOING: AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems ...

Head of Marketing Analytics & Data, you will lead how data and insight shape marketing strategy and investment decisions. You’ll drive analytics through advanced modelling, experimentation, and customer insight to improve effectiveness and deliver commercial impact. You will build and lead a high-performing team across marketing mix modelling, attribution, incrementality testing, predictive modelling, forecasting, and performance measurement. Working with senior stakeholders and partners, you’ll embed a more data-driven, experimental, and performance-focused culture. This is a senior, high-visibility role requiring resilience in a fast-paced environment. You’ll need to simplify complex ...

What You’ll Be Doing Build & Evolve Our Data Platform Contribute to the architecture and development of our modern data platform, including data warehouse, modelling layer and pipelines. Develop and maintain high-quality data models and pipelines. Help establish best practices across data modelling, testing, governance and documentation. … approach to decision-making across the business. Move quickly from idea to insight, testing hypotheses and delivering clear recommendations. Support analysis including customer segmentation, predictive modelling, cohort analysis and customer lifetime value modelling. Look for new ways to use data to solve real commercial problems. Shape ...

Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency ...

Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency ...

identifying opportunities to improve efficiency and conversion. Partner with Marketing and Growth teams to optimise spend, targeting, and funnel performance. Support forecasting and scenario modelling to inform subscriber growth strategy. Develop a deep understanding of how different channels contribute to long-term customer value, not just short-term acquisition. … Looker) Excellent stakeholder management and communication skills Experience in media, publishing, or a digital subscription business Familiarity with CRM and lifecycle marketing Experience with predictive modelling, forecasting, or statistical analysis (Python or R) Experience with marketing attribution or marketing mix modelling Familiarity with cloud data environments (e.g. ...

DoLead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. … approaches. What We're Looking ForStrong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scoring, financial crime or marketing analytics. Technical proficiency with SQL databases and analytical ...

forecasting. Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability. Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team. Empower experimentation programs with thorough data-driven … Hands-on experience with Salesforce CRM and marketing data pipelines Familiarity with AI and machine learning concepts as applied to marketing analytics, such as predictive modelling, anomaly detection, or automated insights Strong proficiency in data visualization tools (e.g., Tableau, Looker, or similar) Experience with attribution modeling, media ...

forecasting. Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability. Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team. Empower experimentation programs with thorough data-driven … Hands-on experience with Salesforce CRM and marketing data pipelines Familiarity with AI and machine learning concepts as applied to marketing analytics, such as predictive modelling, anomaly detection, or automated insights Strong proficiency in data visualization tools (e.g., Tableau, Looker, or similar) Experience with attribution modeling, media ...

value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data platforms Advise on technology selection — purpose-built vs platform, capex … decisioning solution — Pega CDH, Salesforce Marketing Cloud, Adobe Target/AEM/Campaign, Braze, Iterable, or purpose-built solutions Strong working knowledge of predictive modelling for decisioning: propensity, churn, CLV, uplift, and incrementality Experience designing statistically valid champion/challenger and multivariant tests and holdout methodologies Ability ...

risk management strategies. Create dashboards and reports to communicate findings to stakeholders Work closely with actuaries, underwriters and brokers. Support the development of predictive models and advanced analytics initiatives. Identify opportunities to streamline data processes and improve efficiency. Stay updated on industry trends and emerging technologies in data management. ...

business interruption and major accident hazards. Demonstrable AI, data analytics and programming capability, with experience applying digital tools to engineering, risk assessment, asset performance, predictive modelling or operational decision-making. Proficiency in data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau … equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics solutions. Ability to interrogate, manipulate and interpret large operational and engineering datasets to support technical decision-making. Excellent report writing and stakeholder communication skills. Willingness to undertake domestic ...

Opportunity ShareForce is seeking a hands-on Data Scientist to join its growing internal data science capability and work on a portfolio of established predictive models. Working closely with the Data Science Lead, you will play an important role in developing, validating, monitoring and improving production models. You will … work directly with data, Python, SQL and modelling tools, using analysis and experimentation to improve model performance and deliver measurable business value. Operating within a Microsoft Azure and Databricks environment, this is an opportunity to work across the full model lifecycle while contributing to the development of robust model ...

Data & Analytics solutions for our clients. Fostering a high-quality human experience for our team through effective coaching, mentoring, development of career paths, and modelling superior management and leadership skills. Continue to build the team’s capabilities through development and management of training plans, hands-on skill development, paired … including: Cloud platform solutions (data movement, storage, visualisation and analytics) available in top public cloud providers, such as AWS, GCP or Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL ...

comprehensive benefits package to enable holistic well-being for you and your family. What you'll doYou will apply advanced analytics techniques including predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large-scale datasets at some of the world's most influential institutions. You will partner … fieldExperience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured dataStrong applied data science skills with experience in supervised ...

artificial intelligence capabilities that automate processes and enhance decision-making. Apply data, statistics, and modeling to solve complex problems and generate actionable insights. Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions. Support data governance, risk management, and data standards to help ...

approach to solution design Strong technical expertise across Python, SQL, advanced analytics, machine learning, and AI, with a proven ability to design and implement predictive models and intelligent algorithms that solve complex business problems You bring Experience writing process documentation, technical specifications, and data collection guidelines to ensure quality ...

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 ...

artificial intelligence capabilities that automate processes and enhance decision-making. Apply data, statistics, and modeling to solve complex problems and generate actionable insights. Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions. Support data governance, risk management, and data standards to help ...

data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record ...