1 to 25 of 58 Permanent Predictive Analytics Jobs in England

Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. … directly with executive leadership. You will take ownership of the most challenging technical problems, from data modelling and forecasting through to production deployment of predictive analytics solutions in a regulated financial services environment. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive ...

LSEG is seeking a Head of Analytics Engineering to lead the strategy, design, and delivery of Analytics products and capabilities underpinning our Cross Asset, Fund, Private Markets and Predictive Analytics offerings, reporting to the Data and Analytics Engineering CIO. This role owns … engineering of analytics capabilities across these offerings— including pricing, risk, derived metrics, and predictive (AI/ML‐driven) analytics— ensuring they are scalable, production‐grade, and aligned to client workflows. The role sits at the intersection of financial domain expertise, large‐scale distributed systems engineering, and applied ...

Data & Analytics Architect – Senior Manager The SAP Data & Analytics Architect – Senior Manager leads enterprise-wide data transformation initiatives leveraging SAP’s modern analytics and data platform capabilities, including SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud. This role combines … strategic advisory, solution architecture, delivery leadership, and stakeholder engagement to design and implement scalable, high-quality data and analytics solutions that support business transformation objectives. Key Responsibilities Strategy & Leadership Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs ...

Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. … Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency ...

Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights. Leveraging cutting‐edge techniques, you will develop sophisticated analytical tools that, at scale, connect … tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data‐driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ ...

making to support our growth and enhance operational performance. As part of our ongoing digital transformation, we are investing heavily in data, systems, and analytics capabilities. This is an exciting opportunity to join a forward-thinking business where your work will directly influence strategic decisions, operational efficiency, and future … Data Scientist to join our growing Data & Technology team. This role offers the opportunity to work on a diverse range of projects, including advanced analytics, predictive modelling, machine learning, business intelligence, and process optimisation. A key part of the role will involve supporting the implementation of Oracle ...

enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing … Requirements: Experience in software engineering with a focus on AI Proven experience in production AI/ML feature development Understanding of anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding ...

strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs … profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business ...

Director of Pricing, Data and Analytics - Data for Good Hybrid working - Central London offices £150,000 - £200,000 Neg DOE plus strong bonus Job Reference J13124 We want to be very clear about what this position involves from the start. This is not a business-as-usual role … about refining existing models or making marginal gains. The expectation from our client is a step-change: to reimagine and rebuild pricing, data, and analytics end-to-end. Everything from the underlying infrastructure and operating model through to the analytical capability and team structure needs to be reconsidered. ...

Senior Customer Analytics & AI Transformation Manager Lead AI-Powered Customer Transformation We're partnering with an ambitious, customer-focused organisation investing heavily in AI, automation, customer analytics, and digital transformation across its customer operations function. This is a unique opportunity to play a key role in transforming … large-scale contact centre environment through the adoption of Conversational AI, chatbots, speech analytics, sentiment analysis, customer insight, and intelligent automation. The Role Working across Customer Operations, Technology, Product, and Data teams, you'll help shape and deliver an AI-first customer experience strategy, driving improvements in customer journeys ...

controls, in real time. We’re looking for a Head of Financial Engineering & Rapid Development to take a hands‐on approach in building advanced analytics and models, shaping the DST target architecture, and leading a specialist Rapid Development & Financial Engineering sub‐team delivering high‐impact capabilities across portfolio optimisation … risk, predictive signals and AI‐driven asset management. In this role you’ll: Design, build and deliver quantitative models and analytics (optimisation, risk, predictive signals) in C# and Python, with a strong focus on production quality. Drive implementation of the DST target architecture, making key decisions ...

Working closely within the data team and collaborating with insight teams and customer success managers, you will develop advanced analytical solutions, forecasting methodologies and predictive models that enhance Lumina’s data products and consultancy offering. By exploring opportunities within complex datasets, you’ll uncover emerging trends and deliver meaningful … insights from Lumina's proprietary datasets Translating complex analytical findings into compelling narratives, recommendations and presentations through effective storytelling Designing and implementing forecasting and predictive models that support client decision-making and product development Partnering with Insight, Research and Commercial teams to answer high-value business questions Building scalable ...

most recognisable organisations across healthcare, education, hospitality and business. We’re now looking for a Lead Data & Insight Analyst to join our growing Analytics team, playing a key role in shaping how data and insight drive decision-making across the business. The Role This is a hands-on leadership … role combining advanced analytics with team leadership. You’ll take ownership of key insight delivery, lead a small team of analysts, and partner with senior stakeholders to translate data into meaningful commercial outcomes. Key Responsibilities Design and develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets ...

platform, transforming data into commercial intelligence that drives employer engagement, lead conversion, operational efficiency, and revenue growth. Through the application of automation, AI, analytics, and process improvement, the role will support strategic decision-making and create scalable systems that accelerate business performance. Working closely with Sales, Marketing, Operations, Employer … Revenue Growth: Analyse CRM and operational data to identify commercial opportunities. Develop employer segmentation strategies using data and AI. Build lead scoring models and predictive engagement frameworks. Identify dormant employers and re-engagement opportunities. Monitor employer engagement trends, buying signals, and sales performance. Generate actionable insights from employer, learner ...

Benefits About the Role Cedar are seeking an experienced and forward-thinking Head of Analysis & Insight (MI) to lead our client's Management Information, Analytics and Business Insight function. This is an exciting opportunity to shape how data and insight drive strategic decision-making across a growing financial services … events. Key Responsibilities Lead and develop the Analysis & Insight (MI) function, creating a high-performing, customer-focused team. Define and implement the MI and analytics strategy, aligning with wider business objectives. Deliver timely, accurate and insightful management information to Executive and Senior Leadership teams. Transform data into meaningful business ...

Delivery costs and utilisation Margin and profitability Regional Client Success investment decisions (e.g. preventing churn risk, increasing client satisfaction, confidence and trust) Leverage advanced analytics to provide predictive insights into regional performance and customer health, Define and drive Agentic AI frameworks to drive autonomous, augmented delivery services that … ownership, transparency, and Client-first decision-making, Ensure succession planning and capability development across the region. Champion the adoption of AI and advanced analytics across the regional team, driving a culture of continuous learning and competence in leveraging these tools for efficiency and insight. Oversee and ensure the provision ...

operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience ...

sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures Support RFPs, RFIs and technical proposals with clear … Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative AI and modern LLM ecosystems Strong understanding ...

channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring ...

adoption, including future roles, skills, governance, adoption, change management and operating model design. Bring current market insight on generative AI, agentic workflows, intelligent automation, predictive analytics, document intelligence, decisioning and AI-assisted customer engagement. Ensure AI transformation opportunities are grounded in responsible AI principles, regulatory expectations, model risk ...

division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms. Drive innovation in AI‐powered customer capabilities (e.g., personalization, predictive analytics, automation). Evaluate and integrate emerging technologies (LLMs, generative AI, real‐time decisioning systems) into the product ecosystem. Align technical strategy with business … cloud infrastructure. Track record of leading cross‐functional teams (engineering, data science, product). Skills & Attributes Deep understanding of AI/ML technologies (predictive models, NLP, recommender systems, or similar). Strong architectural thinking with a pragmatic, hands‐on approach. Ability to balance innovation with operational reliability. Excellent communication ...

data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA. Our team thrives … relevant information to set them up for success. About You Minimum 12+ years experience in customer-facing roles in the marketing technology or data analytics domain. Minimum 5+ years experience in marketing technology, customer data management, data manipulation, database management, or business intelligence tool configuration and programming. Awareness ...

Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues. The environment … impact quickly. Interesting opportunity for individuals coming from: front-office banking systematic trading quant research applied AI/ML electronic trading hedge funds advanced predictive analytics environments Interview process includes technical deep-dives and presentation of prior projects/implementations. London based. Message me directly for a confidential ...

based asset management objectives. Maintain clear line of sight from objectives to asset information requirements, asset health insight and investment/operational decisions, ensuring analytics demonstrably support customer, resilience, environmental, compliance and value outcomes. Lead the asset intelligence framework and capability for performance, condition, asset health indicators and predictive … intensive environment, with understanding of regulators requirements and standards. Familiarity with asset health frameworks and tools such as condition grading systems, risk modelling or predictive analytics software, and awareness of emerging digital innovations in asset management. Experience contributing to or leading asset management transformation, data improvement or information ...

design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills ...