26 to 35 of 35 Predictive Analytics Jobs in the Thames Valley

. Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures . Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). Why Apply This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance to shape a More ❯

AI solutions at the forefront of innovation — with ambitious clients, strong backing, and genuine opportunities for growth. The Company This pioneering organisation offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights — empowering top-tier clients across sectors such as asset management, banking, retail, etc. More ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure high … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling More ❯

CHIEF TECHNOLOGY OFFICER (CTO) LONDON £120,000 - £150,000 + EQUITY This is a unique opportunity to join an ambitious early-stage startup developing an AI-driven Predictive Intelligence platform that’s set to redefine how financial institutions anticipate and serve client needs. If you’re ready to shape a category-defining product from the ground up — with full … create lasting impact in an emerging AI frontier. Specifically, you can expect to be involved in the following: Leading all aspects of technology strategy, architecture, and execution for the Predictive Intelligence platform. Designing and overseeing the development of the MVP and scaling it to enterprise-grade readiness. Building and mentoring a high-performing engineering and data team from the … or scale-ups Ability to attract and inspire technical talent, and credibility to engage with investors and board members. Deep curiosity for innovative AI technologies (e.g. RAG, agentic architectures, predictive analytics). A collaborative, driven personality with the motivation to build a company — not just a product. BENEFITS The successful CTO will receive the following benefits: Salary More ❯

automotive industry with cutting-edge data and marketing solutions. We empower UK dealer groups and OEMs to maximise aftersales revenue, improve customer retention, and make smarter business decisions through predictive analytics and automation. The Opportunity We're hiring an Account Executive to build relationships with dealer groups across the UK. This isn't traditional sales—you'll be More ❯

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a … large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance … Management Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. More ❯

and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to … device issuance and return. Support TechBar and FSO (Field Support Operations) solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. … technical mentorship to delivery and field teams where required. 5. Automation, AI & Innovation Lead design of AI and automation-enabled workplace support ecosystems , integrating chatbots, self-healing tools, and predictive analytics. Recommend technologies to enhance operational efficiency and user experience (ServiceNow, Microsoft Copilot, Power Automate, UiPath, etc.). Define KPIs for AI-driven IT support (deflection rate, FCR, MTTR More ❯