17 of 17 Permanent Decision Quality Jobs in London

monitor key business metrics to identify trends and assess performance across the organisation. Help evolve data science from individual analyses into scalable systems of decision support, establishing robust analytical approaches that produce reliable insights repeatedly. You’ll work from our London office three days a week. What … hiding behind it. Learn more about your team Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm ...

internal customers. Operating in a matrixed environment with no direct reports, you will lead through influence, navigate ambiguity across multiple cloud workstreams, and deliver decision-quality materials for senior stakeholders. Job responsibilities Lead end-to-end multi-cloud workstream deliveryfor Atlas 2.0 across AWS/Azure/… support model, runbooks, SLAs/SLOs (as applicable), incident/change interfaces, and sustained adoption capabilities. Produce executive‐ready governance and decisions materials, including decision papers, options analysis, trade‐offs, recommendations, and senior stakeholder updates (e.g., Head of Engineering, Head of CTC, CDAO). Run governance forums and steerco ...

measurable success criteria for every deployed solution — not just technical metrics, but commercial outcomes (e.g. pricing accuracy, hit rate improvement, loss ratio movement, underwriter decision quality) Design and lead change management plans for analytics deployment — ensuring that new tools and models are adopted, not just installed Develop … deliver targeted enablement for business users: from underwriter training on model outputs to pricing team workflows that embed decision support Qualifications Required Experience 8+ years in data science, analytics, analytics engineering, or forward‐deployed analytics/AI roles — with a demonstrable track record of getting analytics into production ...

product discovery and validation Coach teams in customer-centric product practices including hypothesis development, experimentation, user research and feedback, opportunity assessment, and evidence-based decision making. Improve product operating model maturity Help teams and clients adopt effective product operating model practices that align strategy, execution, and measurement — connecting product … roadmap creation, prioritization analysis, executive reporting, and product reviews. Prototype lightweight product-focused agents Develop targeted AI agents that improve product team productivity and decision quality, including portfolio reporting, market analysis, stakeholder updates, dependency tracking, and product documentation. Enable responsible AI adoption Ensure AI-enabled solutions align with ...

partner with Private Equity sponsors and their Portfolio Companies across diverse sectors, designing, building and scaling practical data solutions that improve reporting, analytics, decision-making and value creation. We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across finance, sales, operations, marketing, pricing … operational impact for our clients. The right candidate will be able to identify where AI can move the needle on revenue, cost, productivity or decision-making, articulate that value clearly to senior stakeholders, guide proof-of-concepts and work with engineering teams to turn ideas into scalable solutions. This ...

strategic vision, lifecycle, and market execution for our high-performance decisioning platforms and solutions. You will drive the development of next-generation automated decision engines, leveraging advanced analytics, unique data assets, and artificial intelligence to enable enterprise clients to evaluate risk, optimize workflows, and deliver real-time operational decisions … scale decisioning solutions globally. Champion the integration of cloud-native architecture, advanced analytics, and EFX.AI capabilities into automated decisioning products to optimize real-time decision quality and system scalability. Conduct direct market research, engage key enterprise customers, and perform competitive analyses to translate market requirements into actionable product ...

into incremental value with crisp acceptance criteria; make data-informed trade-offs across scope, schedule and risk. Establish high standards for product artefacts and decision quality; work with Platform Engineering peers to raise velocity and impact. Partner with Engineering leadership to ensure scalable, reliable architectures and operational excellence. … oversight. Outstanding stakeholder management and influence; builds trust through transparency and effective use of data; adept at resolving ambiguity and contention. Strong analytical and decision-making skills; comfortable using metrics, telemetry and experimentation to guide priorities and measure outcomes. Deep partnership with Engineering; fluent in discussing technical trade-offs ...

existing systems interact. Break complex business activities into logical, measurable steps, identifying tasks suitable for automation, AI assistance or autonomous execution. Define process triggers, decision points, business rules, exception handling, escalation routes and hand-offs between AI agents, people and systems. Assess the operational and organisational implications of proposed … business workflows into goal-driven activities that AI agents can perform, subject to defined permissions, constraints and oversight. Define requirements for AI-agent triggers, decision points, permitted actions, dependencies, exception handling and interactions with users and other systems. Distinguish between tasks that can be automated, tasks requiring human review ...

existing systems interact. Break complex business activities into logical, measurable steps, identifying tasks suitable for automation, AI assistance or autonomous execution. Define process triggers, decision points, business rules, exception handling, escalation routes and hand-offs between AI agents, people and systems. Assess the operational and organisational implications of proposed … business workflows into goal-driven activities that AI agents can perform, subject to defined permissions, constraints and oversight. Define requirements for AI-agent triggers, decision points, permitted actions, dependencies, exception handling and interactions with users and other systems. Distinguish between tasks that can be automated, tasks requiring human review ...

measurable success criteria for every deployed solution — not just technical metrics, but commercial outcomes (e.g. pricing accuracy, hit rate improvement, loss ratio movement, underwriter decision quality) Design and lead change management plans for analytics deployment — ensuring that new tools and models are adopted, not just installed Develop … deliver targeted enablement for business users: from underwriter training on model outputs to pricing team workflows that embed decision support #J-18808-Ljbffr ...

strategic GNE (Governance and Experience) business partner, advising country leadership and regional stakeholders while representing local market realities, risks, and opportunities in regional decision-making Translate market insights into actionable improvements by building a strong feedback loop between country and regional Policy, Product, Operations, Governance, and other cross-functional … scale by establishing robust frameworks for risk monitoring, issue management, performance reviews, and implementation tracking, while leveraging AI and automation to improve efficiency and decision quality Minimum Qualification(s) English and Turkish speaking Relevant experience in business operations, strategy, program management, governance, policy, or platform operations, preferably ...

program embeds small, dedicated, cross-functional teams directly with business domains to identify high-value opportunities and deliver reusable internal solutions that raise productivity, decision quality, and speed.Our mission is straightforward: empower every employee at LexisNexis to leverage AI to move from human outcomes to superhuman outcomes.We … charity of choice**About the business**LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring ...

work directly with investigators, fraud cases, data, processes, and technology. Wear different hats when needed to help the team learn faster and ship high-quality solutions today rather than tomorrow. Build safe and compliant automation - Establish rigorous evaluation, backtesting, QA, monitoring, governance, auditability, human oversight, and feedback loops … powered fraud investigations can scale while maintaining a high bar for customer safety, decision quality, and regulatory compliance. Build scalable, reusable automation foundations - Partner across Wise to turn successful fraud use cases into shared capabilities that simplify end-to-end workflows and support broader Fraud and FinCrime needs. ...

Funding Circle Ltd. in London is seeking a credit risk analyst to assess risk in SME lending and to improve decision quality through market and portfolio insights. You will review loan applications with efficiency, collaborate to refine workflows, and advise colleagues to balance growth with risk management. ...

company and digital priorities into a measurable roadmap with well‐framed opportunities, aligned to squad OKRs. You will balance customer value, commercial impact, experience quality and delivery feasibility, with accountability for outcomes rather than simply shipping features. You will work closely with Digital Product Design, Engineering and Delivery Managers … guardrails and instrumentation with Data and Engineering, using A/B tests, prototypes, usability testing, phased rollouts or post‐launch reviews where they improve decision quality. Drive launch readiness with Design, Engineering and Delivery Managers, protecting the intended customer outcome and experience quality while managing scope and timing ...

posting contains enough substantive detail to justify deeper analysis inside Aptiora. Public evidence is still not the same as your personal fit or decision quality. Location and working model may be decisive filters before you invest too much energy. What to verify before acting Team mission, size, and what … success looks like in the first months. Reporting structure, level expectations, and decision authority. Whether the real scope is product, research, infrastructure, or a blend. Working model, compensation, equity, and interview process. #J-18808-Ljbffr ...

posting contains enough substantive detail to justify deeper analysis inside Aptiora. Public evidence is still not the same as your personal fit or decision quality. Location and working model may be decisive filters before you invest too much energy. What to verify before acting Team mission, size, and what … success looks like in the first months. Reporting structure, level expectations, and decision authority. Whether the real scope is product, research, infrastructure, or a blend. Working model, compensation, equity, and interview process. Conditions noted: Type: Full-time Reports to: Co-founder, CEO What We Do At Heat Geek ...