Senior Data & AI Platform Engineer At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, marketing automation, and M&A integration. This role will shape the governed, increasingly AI-enabled data foundation that supports our next stage of scale. Role mission Own the continuity, evolution and AI-enablement of OrderYOYO's modern data platform during a critical scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics, and provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning. Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response. Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring and data-quality management. Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting. Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance. Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery. Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed. Must-have requirements 6+ years in modern data warehousing, analytics engineering or data platform engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse / Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models. Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness. Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control and safe decommissioning. Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage and runbooks. Comfortable with Git-based data engineering workflows, pull requests, release discipline and standards for notebooks, pipelines and semantic model changes. Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration or developer productivity. Strong-to-have experience Payments, settlement, reconciliation, fees, chargebacks, merchant reporting or finance-domain data. CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk or similar platforms. M&A or acquired-company data integrations: schema discovery, file/API ingestion, data profiling, master-data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads / SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management or AI-assisted development workflows. Experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation or merchant/customer intelligence tools. Responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability and GDPR-conscious design. Candidate signals to prioritise in interview Has owned a production data platform, not only built dashboards or one-off analytics projects. Can explain how they governed metrics and prevented conflicting definitions across teams. Has migrated or consolidated legacy reporting into a modern semantic layer without breaking business trust. Balances delivery urgency with reliability, documentation, cost control and operational resilience. Communicates clearly with executives, product teams, analysts and engineers; can say "no" or "not yet" with evidence. Is hands-on enough to debug pipelines and models, while senior enough to set standards and mentor others. Has used AI or automation in a real data-engineering context to speed up delivery, not just as a novelty, and can describe the guardrails they put around it.
Sep 30, 2026
Full time
Senior Data & AI Platform Engineer At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, marketing automation, and M&A integration. This role will shape the governed, increasingly AI-enabled data foundation that supports our next stage of scale. Role mission Own the continuity, evolution and AI-enablement of OrderYOYO's modern data platform during a critical scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, apply AI and automation to improve data engineering, reporting and analytics, and provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning. Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response. Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring and data-quality management. Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting. Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance. Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery. Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed. Must-have requirements 6+ years in modern data warehousing, analytics engineering or data platform engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse / Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models. Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness. Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control and safe decommissioning. Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage and runbooks. Comfortable with Git-based data engineering workflows, pull requests, release discipline and standards for notebooks, pipelines and semantic model changes. Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration or developer productivity. Strong-to-have experience Payments, settlement, reconciliation, fees, chargebacks, merchant reporting or finance-domain data. CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk or similar platforms. M&A or acquired-company data integrations: schema discovery, file/API ingestion, data profiling, master-data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads / SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management or AI-assisted development workflows. Experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation or merchant/customer intelligence tools. Responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability and GDPR-conscious design. Candidate signals to prioritise in interview Has owned a production data platform, not only built dashboards or one-off analytics projects. Can explain how they governed metrics and prevented conflicting definitions across teams. Has migrated or consolidated legacy reporting into a modern semantic layer without breaking business trust. Balances delivery urgency with reliability, documentation, cost control and operational resilience. Communicates clearly with executives, product teams, analysts and engineers; can say "no" or "not yet" with evidence. Is hands-on enough to debug pipelines and models, while senior enough to set standards and mentor others. Has used AI or automation in a real data-engineering context to speed up delivery, not just as a novelty, and can describe the guardrails they put around it.
Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide. CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference. We provide expert advice and hands-on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought-out digital solutions and software. CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients' sales and marketing programmes. We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas. C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy. What You'll Be Doing This is an exciting opportunity to join the Marketing Technology team as a Associate Partner. Working closely with the existing MarTech leadership, you will play a key role in the continued growth of the practice, helping to shape, position and win complex CRM, customer engagement, CDP, analytics and wider marketing technology programmes for major enterprise clients. This is a senior, client-facing consulting role with a significant focus on pre-sales, solution consulting and proposition development. You will work with major enterprise clients to understand their customer, marketing, data and technology challenges and translate these into innovative, commercially viable solutions. Working closely with the wider MarTech leadership team, you will help grow existing and new client relationships, shape the future development of CACI's MarTech propositions and strengthen strategic partnerships with key technology partners including Adobe, Braze and Bloomreach as well as support identifying new vendors to build partnerships with. Client Consulting And Pre-sales Responsibilities Build trusted relationships with senior client stakeholders across marketing, CRM, customer experience, data and technology Lead discovery sessions and senior client conversations to understand business, customer and technology challenges Translate client requirements into compelling MarTech strategies, solutions and transformation roadmaps Lead MarTech pre-sales engagements from initial discovery through solution definition, proposal, pitch and close Shape propositions, statements of work and commercial proposals for complex client engagements Identify opportunities to expand existing client relationships, develop new consulting engagements and contribute to pitches, proposals and RFP responses Lead production of RFP responses, proposals and Statements of Work, ensuring solid understanding of clients needs, accurate portrayal of scope, and accurate costing Marketing Technology And Solution Responsibilities Shape enterprise solutions spanning CRM, customer engagement, CDP, personalisation, journey orchestration and analytics Provide senior-level expertise across the MarTech landscape, including Adobe, Braze and Bloomreach amongst others Advise clients on the selection and effective use of marketing technology based on their specific business and customer requirements Understand solutions across the MarTech landscape, in particular CEP, CDP and Analytics tools, and how they fit into the broader stack Understand the importance of data foundations, and be able to articulate the characteristics that must be present in order to unlock delivery of great customer experiences through modern CEPs Work closely with architects, strategists, analysts, developers and implementation specialists to ensure solutions are technically deliverable and commercially viable Ensure a strong connection between the original client challenge, the proposed solution and successful delivery Practice, Proposition And Partner Responsibilities Work with the wider leadership team to develop CACI's MarTech propositions and go-to-market strategy Help identify emerging client needs and develop new consulting propositions around them Build and maintain strong relationships with key technology partners including Adobe, Braze and Bloomreach Work collaboratively with vendor sales, solutions and partnership teams on relevant client opportunities Identify appropriate joint go-to-market and co-sell opportunities where these support CACI's client strategy Maintain awareness of vendor roadmaps and new capabilities to ensure CACI's propositions remain relevant and competitive Support the development of CACI's capabilities, expertise and credibility across its strategic technology partnerships Stay abreast of developments in the Marketing Technology space and be able to communicate these, as well as identify how CACI's propositions and partner choices should evolve Client And Delivery Leadership Responsibilities Act as a senior trusted adviser to clients throughout the lifecycle of an engagement Provide senior oversight across selected CRM, MarTech, CDP and analytics implementation programmes Maintain strong senior client relationships and ensure CACI continues to deliver against the client's strategic objectives Work across consulting and delivery teams to maintain continuity from initial strategy and solution design through implementation Act as a senior escalation point across strategically important client engagements Ensure a strong connection between client strategy, solution design and successful delivery Support account growth by identifying where CACI can provide additional value to existing clients Represent the Marketing Technology practice in senior client, industry and partner conversations Who You Are You have Marketing Technology consulting and domain experience: You will have significant experience working within a consultancy, agency, systems integrator or technology organisation You will have a strong track record in pre-sales, solution consulting, proposition development and pitching You will have a strong track record in accurate costing, and proven ability to present and discuss commercials with clients You will have experience shaping and helping to win significant CRM, MarTech, data or digital transformation programmes You will have broad expertise across CRM, customer engagement, marketing technology, CDP and customer data You will have strong knowledge of at least two enterprise MarTech platforms such as Adobe, Braze and/or Bloomreach You will be comfortable building productive relationships with strategic technology partners and using those relationships to support client and practice growth You will have strong understanding of Customer Data Platforms, customer data architecture, personalisation and journey orchestration You will have good understanding of digital and customer analytics and associated implementation programmes You will be able to engage credibly with C-suite and senior marketing, CRM, data and technology leaders You will be commercially minded with the ability to identify and convert consulting opportunities You will be able to bridge the gap between business strategy, customer experience, data and technology You do not need to be a hands-on developer or solution architect, but you will have sufficient technical depth to understand complex enterprise MarTech environments, challenge proposed solutions and confidently lead clients from discovery through to solution and proposal. You Are a Team Player You are energetic, positive and commercially minded You are collaborative and comfortable working across multidisciplinary teams You are a strong communicator with excellent written and verbal English You have excellent presentation skills and can explain complex technology solutions to senior client stakeholders You are a strong listener who can understand a client's requirements while asking the right questions to uncover the wider business challenge You have strong organisational skills and are comfortable working across multiple clients, opportunities and programmes We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Successful candidates must have the right to work in the UK.
Sep 30, 2026
Full time
Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide. CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference. We provide expert advice and hands-on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought-out digital solutions and software. CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients' sales and marketing programmes. We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas. C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy. What You'll Be Doing This is an exciting opportunity to join the Marketing Technology team as a Associate Partner. Working closely with the existing MarTech leadership, you will play a key role in the continued growth of the practice, helping to shape, position and win complex CRM, customer engagement, CDP, analytics and wider marketing technology programmes for major enterprise clients. This is a senior, client-facing consulting role with a significant focus on pre-sales, solution consulting and proposition development. You will work with major enterprise clients to understand their customer, marketing, data and technology challenges and translate these into innovative, commercially viable solutions. Working closely with the wider MarTech leadership team, you will help grow existing and new client relationships, shape the future development of CACI's MarTech propositions and strengthen strategic partnerships with key technology partners including Adobe, Braze and Bloomreach as well as support identifying new vendors to build partnerships with. Client Consulting And Pre-sales Responsibilities Build trusted relationships with senior client stakeholders across marketing, CRM, customer experience, data and technology Lead discovery sessions and senior client conversations to understand business, customer and technology challenges Translate client requirements into compelling MarTech strategies, solutions and transformation roadmaps Lead MarTech pre-sales engagements from initial discovery through solution definition, proposal, pitch and close Shape propositions, statements of work and commercial proposals for complex client engagements Identify opportunities to expand existing client relationships, develop new consulting engagements and contribute to pitches, proposals and RFP responses Lead production of RFP responses, proposals and Statements of Work, ensuring solid understanding of clients needs, accurate portrayal of scope, and accurate costing Marketing Technology And Solution Responsibilities Shape enterprise solutions spanning CRM, customer engagement, CDP, personalisation, journey orchestration and analytics Provide senior-level expertise across the MarTech landscape, including Adobe, Braze and Bloomreach amongst others Advise clients on the selection and effective use of marketing technology based on their specific business and customer requirements Understand solutions across the MarTech landscape, in particular CEP, CDP and Analytics tools, and how they fit into the broader stack Understand the importance of data foundations, and be able to articulate the characteristics that must be present in order to unlock delivery of great customer experiences through modern CEPs Work closely with architects, strategists, analysts, developers and implementation specialists to ensure solutions are technically deliverable and commercially viable Ensure a strong connection between the original client challenge, the proposed solution and successful delivery Practice, Proposition And Partner Responsibilities Work with the wider leadership team to develop CACI's MarTech propositions and go-to-market strategy Help identify emerging client needs and develop new consulting propositions around them Build and maintain strong relationships with key technology partners including Adobe, Braze and Bloomreach Work collaboratively with vendor sales, solutions and partnership teams on relevant client opportunities Identify appropriate joint go-to-market and co-sell opportunities where these support CACI's client strategy Maintain awareness of vendor roadmaps and new capabilities to ensure CACI's propositions remain relevant and competitive Support the development of CACI's capabilities, expertise and credibility across its strategic technology partnerships Stay abreast of developments in the Marketing Technology space and be able to communicate these, as well as identify how CACI's propositions and partner choices should evolve Client And Delivery Leadership Responsibilities Act as a senior trusted adviser to clients throughout the lifecycle of an engagement Provide senior oversight across selected CRM, MarTech, CDP and analytics implementation programmes Maintain strong senior client relationships and ensure CACI continues to deliver against the client's strategic objectives Work across consulting and delivery teams to maintain continuity from initial strategy and solution design through implementation Act as a senior escalation point across strategically important client engagements Ensure a strong connection between client strategy, solution design and successful delivery Support account growth by identifying where CACI can provide additional value to existing clients Represent the Marketing Technology practice in senior client, industry and partner conversations Who You Are You have Marketing Technology consulting and domain experience: You will have significant experience working within a consultancy, agency, systems integrator or technology organisation You will have a strong track record in pre-sales, solution consulting, proposition development and pitching You will have a strong track record in accurate costing, and proven ability to present and discuss commercials with clients You will have experience shaping and helping to win significant CRM, MarTech, data or digital transformation programmes You will have broad expertise across CRM, customer engagement, marketing technology, CDP and customer data You will have strong knowledge of at least two enterprise MarTech platforms such as Adobe, Braze and/or Bloomreach You will be comfortable building productive relationships with strategic technology partners and using those relationships to support client and practice growth You will have strong understanding of Customer Data Platforms, customer data architecture, personalisation and journey orchestration You will have good understanding of digital and customer analytics and associated implementation programmes You will be able to engage credibly with C-suite and senior marketing, CRM, data and technology leaders You will be commercially minded with the ability to identify and convert consulting opportunities You will be able to bridge the gap between business strategy, customer experience, data and technology You do not need to be a hands-on developer or solution architect, but you will have sufficient technical depth to understand complex enterprise MarTech environments, challenge proposed solutions and confidently lead clients from discovery through to solution and proposal. You Are a Team Player You are energetic, positive and commercially minded You are collaborative and comfortable working across multidisciplinary teams You are a strong communicator with excellent written and verbal English You have excellent presentation skills and can explain complex technology solutions to senior client stakeholders You are a strong listener who can understand a client's requirements while asking the right questions to uncover the wider business challenge You have strong organisational skills and are comfortable working across multiple clients, opportunities and programmes We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Successful candidates must have the right to work in the UK.
Machine Learning Engineer Location: London Salary: £95,000-120,000 Contract: Permanent Working pattern: On site, 3 days a week A new software venture built inside an established global provider of analytical and research services to the private capital industry is hiring Machine Learning Engineers to build the models, agents and evaluation systems that investment professionals rely on to analyse data, work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering and own the machine learning layer of the platform, from the first prototype through to a monitored production service. The work combines applied LLM engineering with the rigour that high-stakes financial workflows demand. The hard part is reliability and measurement: a model that is right most of the time is not enough when analysts act on the output, so every system needs to be evaluated, observable and safe to fail. Part of an engineering cohort being hired across machine learning, front-end and back-end. Based with the UK core team of around thirty people in Kings Cross, alongside colleagues in London and India. WHAT YOU'LL BE DOING Your remit spans the models and agents, the data and retrieval layer, the evaluation framework and the production platform. Design, build and ship LLM-powered features and multi-step agent workflows in Python, from prototype to production. Build document intelligence pipelines that extract, structure and reason over long, messy financial documents such as filings, decks, models and data rooms. Develop retrieval-augmented generation systems, including chunking, embeddings, vector search, re-ranking and citation, so that every answer can be traced to its source. Create evaluation frameworks and datasets, with automated regression tests, human review loops and metrics for accuracy, that catch mistakes early and stop the same failures recurring. Implement guardrails, confidence signalling and safe failure behaviour, and work with front-end colleagues to expose approvals, tool calls and partial progress to users. Fine-tune, prompt-engineer and benchmark models, and make considered decisions between hosted foundation models, open-weight models and classical ML on cost, latency and quality. Build and operate ML services and APIs with authentication, role-based access and tenant isolation, so client data is never mixed across tenants. Own MLOps in production: experiment tracking, model and prompt versioning, monitoring, drift detection, cost and latency management, and incident response. Write unit, integration and evaluation tests, and ship through Jenkins and SonarQube pipelines to AWS. Work with back-end and front-end engineers and with domain experts in private capital to turn real analyst workflows into reliable products. WHAT WE'RE LOOKING FOR 5+ years in machine learning or software engineering, with production ML experience and strong Python. Hands-on experience shipping LLM-based or NLP systems to real users, including RAG, agents and tool use, and the ability to explain the design and trade-off decisions behind them. A rigorous approach to evaluation: you can define what "good" means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with Git, CI/CD and containerisation. Experience building SaaS or multi-tenant products, with a working understanding of data security, access control and privacy. Daily use of AI coding tools such as Cursor or Claude Code, and a considered view of where they help. A degree in computer science, engineering, mathematics, statistics or a related field, or equivalent experience. A postgraduate degree is valued but not required. NICE TO HAVE Experience building agentic products, including orchestration, memory, tool calling and human-in-the-loop controls. Document understanding, OCR and table extraction on complex financial documents. Fine-tuning or distillation of language models, and inference optimisation. Experience with financial, investment or other regulated-industry data. Experience with LLM observability and evaluation tooling. THE REALITY Autonomous systems are being built inside high-stakes live businesses, where decisions carry real consequences and waiting for everyone to agree is not always an option. The systems will sometimes get things wrong; in this phase the London team needs to create the evaluations, visibilities and safeguards that catch mistakes early and stop the same failures recurring. The goal is to build the foundations of an enterprise-grade technology platform serving a multi-billion dollar serviceable market, and to share in that growth. IN OUR CONVERSATIONS Come ready to discuss three pieces of work: A production ML or LLM system you shipped: the architecture, data and cost decisions. An evaluation approach you designed to measure or improve quality, and what it revealed. A failure or regression you found in production and the improvement you made to prevent it recurring. LOCATION & WORKING PATTERN Kings Cross, London. In office 3 days a week. Colleagues based in London and India. Visa sponsorship is not available for this role. The interview process is intended to complete within three weeks, and adjustments to interviews can be arranged on request. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Sep 30, 2026
Full time
Machine Learning Engineer Location: London Salary: £95,000-120,000 Contract: Permanent Working pattern: On site, 3 days a week A new software venture built inside an established global provider of analytical and research services to the private capital industry is hiring Machine Learning Engineers to build the models, agents and evaluation systems that investment professionals rely on to analyse data, work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering and own the machine learning layer of the platform, from the first prototype through to a monitored production service. The work combines applied LLM engineering with the rigour that high-stakes financial workflows demand. The hard part is reliability and measurement: a model that is right most of the time is not enough when analysts act on the output, so every system needs to be evaluated, observable and safe to fail. Part of an engineering cohort being hired across machine learning, front-end and back-end. Based with the UK core team of around thirty people in Kings Cross, alongside colleagues in London and India. WHAT YOU'LL BE DOING Your remit spans the models and agents, the data and retrieval layer, the evaluation framework and the production platform. Design, build and ship LLM-powered features and multi-step agent workflows in Python, from prototype to production. Build document intelligence pipelines that extract, structure and reason over long, messy financial documents such as filings, decks, models and data rooms. Develop retrieval-augmented generation systems, including chunking, embeddings, vector search, re-ranking and citation, so that every answer can be traced to its source. Create evaluation frameworks and datasets, with automated regression tests, human review loops and metrics for accuracy, that catch mistakes early and stop the same failures recurring. Implement guardrails, confidence signalling and safe failure behaviour, and work with front-end colleagues to expose approvals, tool calls and partial progress to users. Fine-tune, prompt-engineer and benchmark models, and make considered decisions between hosted foundation models, open-weight models and classical ML on cost, latency and quality. Build and operate ML services and APIs with authentication, role-based access and tenant isolation, so client data is never mixed across tenants. Own MLOps in production: experiment tracking, model and prompt versioning, monitoring, drift detection, cost and latency management, and incident response. Write unit, integration and evaluation tests, and ship through Jenkins and SonarQube pipelines to AWS. Work with back-end and front-end engineers and with domain experts in private capital to turn real analyst workflows into reliable products. WHAT WE'RE LOOKING FOR 5+ years in machine learning or software engineering, with production ML experience and strong Python. Hands-on experience shipping LLM-based or NLP systems to real users, including RAG, agents and tool use, and the ability to explain the design and trade-off decisions behind them. A rigorous approach to evaluation: you can define what "good" means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with Git, CI/CD and containerisation. Experience building SaaS or multi-tenant products, with a working understanding of data security, access control and privacy. Daily use of AI coding tools such as Cursor or Claude Code, and a considered view of where they help. A degree in computer science, engineering, mathematics, statistics or a related field, or equivalent experience. A postgraduate degree is valued but not required. NICE TO HAVE Experience building agentic products, including orchestration, memory, tool calling and human-in-the-loop controls. Document understanding, OCR and table extraction on complex financial documents. Fine-tuning or distillation of language models, and inference optimisation. Experience with financial, investment or other regulated-industry data. Experience with LLM observability and evaluation tooling. THE REALITY Autonomous systems are being built inside high-stakes live businesses, where decisions carry real consequences and waiting for everyone to agree is not always an option. The systems will sometimes get things wrong; in this phase the London team needs to create the evaluations, visibilities and safeguards that catch mistakes early and stop the same failures recurring. The goal is to build the foundations of an enterprise-grade technology platform serving a multi-billion dollar serviceable market, and to share in that growth. IN OUR CONVERSATIONS Come ready to discuss three pieces of work: A production ML or LLM system you shipped: the architecture, data and cost decisions. An evaluation approach you designed to measure or improve quality, and what it revealed. A failure or regression you found in production and the improvement you made to prevent it recurring. LOCATION & WORKING PATTERN Kings Cross, London. In office 3 days a week. Colleagues based in London and India. Visa sponsorship is not available for this role. The interview process is intended to complete within three weeks, and adjustments to interviews can be arranged on request. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Location: London Other locations: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units: Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) - EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (InfoSec) - InfoSec prevents, detects, responds, and mitigates cybersecurity risk, protecting EY and client data, and our information management systems. The opportunity The Cyber & Investigative Services (CIS) Senior Cyber Incident Response Coordinator will exercise exemplary incident management techniques to coordinate incident response to cybersecurity events or incidents stemming from suspected threats on a global scale. Candidates for the role must have an exceptional comprehension of cybersecurity incident response plans and coordination of activities, establish and foster relationships on a global scale, and have superb verbal and written communication skills. Additionally, candidates must have a sense of diplomacy, ability to anticipate obstacles, and decision-making skills to handle the fast-paced world of cybersecurity incident management. Advanced skills in cybersecurity incident response, incident management, chain-of-custody, forensics, cybersecurity event analysis, and hands-on cybersecurity/digital-forensics skills are required. Your key responsibilities Independently coordinate complex response efforts to global cybersecurity incidents caused by external threats that may involve nontraditional working hours Serve as a liaison and relationship manager to different businesses and interface with fellow team members and colleagues on other Information Security teams, as well as manage relationships with business partners, management, vendors, and external parties Establish, foster, and maintain relationships with General Counsel, Data Privacy/Protection, and Risk Management key contacts Drive and manage integration with other corporate incident management programs to ensure consistency and alignment with peer support teams within IT Oversee critical Cyber & Investigative Services projects as directed by leadership Serve as a counselor and manager for junior members of the Cyber Incident Response team Lead process and documentation development and improvements by the Cyber & Investigative Services team Develop and document processes to ensure consistent and scalable response operations, and ensure continuous improvement to the firm's global cybersecurity incident response plan Independently, as well as upon request, develop and deliver metrics to leadership relevent to the operational improvement of the cybersecurity incident response process Responsible for reporting upon team's performance and deficiencies in order to identify areas for improvement, as well as institute programs for correction or enhancement Draft communications and ensure timely reports/updates to leadership for their own cases and the cases of those reporting to them during and after an event/incident Own and/or oversee process and corresponding documenation Must be willing to be on-call off hours in rotation with other team members (Required) Skills and attributes for success An exceptional comprehension of the incident response lifecycle in theory and practice The ability to coordinate high-profile, complex, and global cybersecurity incidents from the point of incident declaration through resolution Drive cybersecurity incident gap identification and post incident lesson's learned efforts to resolution Have comprehensive knowledge in all domains of Information Security and associated technologies in the support of collaboration with partnering teams, eradication, and remediation efforts in support of cybersecurity incidents, and appropriate identification and assignment of gaps identified during response efforts Comfortable managing through ambiguity, making thoughtful and sound judgments during stressful environments Analyze findings in investigative matters, and develop fact-based reports Ability to identify and articulate opportunities for improvement while driving lessons learned activities Demonstrated integrity and judgment within a professional environment Inquisitive approach to analysis and peer review Application of emotional intelligence and calm under pressure Ability to appropriately balance work/personal priorities Talent management of direct reports with empathy and patience, while developing them professionally Exemplary presentation and communication skills across differing mediums, including written and verbal communication To qualify for the role, you must have Education: Bachelor's or Master's Degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience Experience: 10+ years' collective experience between the following roles: Information Security Professional Information System Administration/Engineering 5+ years' collective experience between the following roles: Security Operations Center (SOC) Analyst/Manager Cybersecurity Threat Intelligence Cybersecurity Detection Engineering Other relevant Cyber Defense functions Attack & Penetration Testing (Active Defense) eDiscovery or related role performing forensic functions 3+ years' collective experience between the following roles: Cybersecurity Digital Forensics Incident Response (DFIR) Analyst/Manager Cybersecurity Incident Coordinator Intricate understanding of security threats, vulnerabilities, and incident response Mastery of electronic investigation, forensic tools, and methodologies, including: log correlation and analysis, forensically handling electronic data, knowledge of the computer security investigative processes, malware identification and analysis Familiarity, understanding, and comfort navigating legalities surrounding electronic-discovery/collection and analysis of digital evidence Understanding of network topography and protocols Understanding-of and adaptability-to regulatory stipulations regarding security incidents on a global scale Experience in operationalizing automation to support process efficiency Experience with SIEM technologies (i.e. Sentinel), cloud-based management and investigation consoles (i.e. Azure), and other Digital Forensics analysis tools Deep understanding of both Windows and Unix/Linux based operating systems, and adaptability to easily and quickly respond to previously unknown interfaces/operating systems/consoles, as well as non-standard devices (i.e. kiosks, IoT devices, mobile phones, etc.) Ideally, you'll also Candidates must hold or be willing to pursue related professional certifications such as GCFE, GCFA, GCIH, CISA, CISM, CISSP, or CCIM What we look for Demonstrated the highest level of integrity in a professional environment Ability and experienced in working independently Have a global mind-set for working with different cultures and backgrounds, while fostering and building lasting relationships Extremely knowledgeable in business industry standard security incident response process, procedures, and life-cycle Excellent organizational skills and strong attention to detail Excellent teaming and management skills Excellent social, communication, and writing skills What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Are you ready to shape your future with confidence? To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology . click apply for full job details
Sep 24, 2026
Full time
Location: London Other locations: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units: Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) - EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (InfoSec) - InfoSec prevents, detects, responds, and mitigates cybersecurity risk, protecting EY and client data, and our information management systems. The opportunity The Cyber & Investigative Services (CIS) Senior Cyber Incident Response Coordinator will exercise exemplary incident management techniques to coordinate incident response to cybersecurity events or incidents stemming from suspected threats on a global scale. Candidates for the role must have an exceptional comprehension of cybersecurity incident response plans and coordination of activities, establish and foster relationships on a global scale, and have superb verbal and written communication skills. Additionally, candidates must have a sense of diplomacy, ability to anticipate obstacles, and decision-making skills to handle the fast-paced world of cybersecurity incident management. Advanced skills in cybersecurity incident response, incident management, chain-of-custody, forensics, cybersecurity event analysis, and hands-on cybersecurity/digital-forensics skills are required. Your key responsibilities Independently coordinate complex response efforts to global cybersecurity incidents caused by external threats that may involve nontraditional working hours Serve as a liaison and relationship manager to different businesses and interface with fellow team members and colleagues on other Information Security teams, as well as manage relationships with business partners, management, vendors, and external parties Establish, foster, and maintain relationships with General Counsel, Data Privacy/Protection, and Risk Management key contacts Drive and manage integration with other corporate incident management programs to ensure consistency and alignment with peer support teams within IT Oversee critical Cyber & Investigative Services projects as directed by leadership Serve as a counselor and manager for junior members of the Cyber Incident Response team Lead process and documentation development and improvements by the Cyber & Investigative Services team Develop and document processes to ensure consistent and scalable response operations, and ensure continuous improvement to the firm's global cybersecurity incident response plan Independently, as well as upon request, develop and deliver metrics to leadership relevent to the operational improvement of the cybersecurity incident response process Responsible for reporting upon team's performance and deficiencies in order to identify areas for improvement, as well as institute programs for correction or enhancement Draft communications and ensure timely reports/updates to leadership for their own cases and the cases of those reporting to them during and after an event/incident Own and/or oversee process and corresponding documenation Must be willing to be on-call off hours in rotation with other team members (Required) Skills and attributes for success An exceptional comprehension of the incident response lifecycle in theory and practice The ability to coordinate high-profile, complex, and global cybersecurity incidents from the point of incident declaration through resolution Drive cybersecurity incident gap identification and post incident lesson's learned efforts to resolution Have comprehensive knowledge in all domains of Information Security and associated technologies in the support of collaboration with partnering teams, eradication, and remediation efforts in support of cybersecurity incidents, and appropriate identification and assignment of gaps identified during response efforts Comfortable managing through ambiguity, making thoughtful and sound judgments during stressful environments Analyze findings in investigative matters, and develop fact-based reports Ability to identify and articulate opportunities for improvement while driving lessons learned activities Demonstrated integrity and judgment within a professional environment Inquisitive approach to analysis and peer review Application of emotional intelligence and calm under pressure Ability to appropriately balance work/personal priorities Talent management of direct reports with empathy and patience, while developing them professionally Exemplary presentation and communication skills across differing mediums, including written and verbal communication To qualify for the role, you must have Education: Bachelor's or Master's Degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience Experience: 10+ years' collective experience between the following roles: Information Security Professional Information System Administration/Engineering 5+ years' collective experience between the following roles: Security Operations Center (SOC) Analyst/Manager Cybersecurity Threat Intelligence Cybersecurity Detection Engineering Other relevant Cyber Defense functions Attack & Penetration Testing (Active Defense) eDiscovery or related role performing forensic functions 3+ years' collective experience between the following roles: Cybersecurity Digital Forensics Incident Response (DFIR) Analyst/Manager Cybersecurity Incident Coordinator Intricate understanding of security threats, vulnerabilities, and incident response Mastery of electronic investigation, forensic tools, and methodologies, including: log correlation and analysis, forensically handling electronic data, knowledge of the computer security investigative processes, malware identification and analysis Familiarity, understanding, and comfort navigating legalities surrounding electronic-discovery/collection and analysis of digital evidence Understanding of network topography and protocols Understanding-of and adaptability-to regulatory stipulations regarding security incidents on a global scale Experience in operationalizing automation to support process efficiency Experience with SIEM technologies (i.e. Sentinel), cloud-based management and investigation consoles (i.e. Azure), and other Digital Forensics analysis tools Deep understanding of both Windows and Unix/Linux based operating systems, and adaptability to easily and quickly respond to previously unknown interfaces/operating systems/consoles, as well as non-standard devices (i.e. kiosks, IoT devices, mobile phones, etc.) Ideally, you'll also Candidates must hold or be willing to pursue related professional certifications such as GCFE, GCFA, GCIH, CISA, CISM, CISSP, or CCIM What we look for Demonstrated the highest level of integrity in a professional environment Ability and experienced in working independently Have a global mind-set for working with different cultures and backgrounds, while fostering and building lasting relationships Extremely knowledgeable in business industry standard security incident response process, procedures, and life-cycle Excellent organizational skills and strong attention to detail Excellent teaming and management skills Excellent social, communication, and writing skills What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Are you ready to shape your future with confidence? To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology . click apply for full job details
Our Mission Advancing Essential Intelligence. About The Role Grade Level (for internal use): 12 The Team The Associate Director position is within the Metals & Mining group with the S&P Global Energy organization. The Metals & Mining group provides data and research on the entire mining value chain from exploration and mine pipelines through demand and price forecasting. Responsibilities and Impact The Associate Director will work closely with peers in both the S&P Global Energy organization along with S&P Global Market Intelligence to create comprehensive, cohesive and transparent coverage of the pricing, supply and demand outlooks for critical minerals - from assets to downstream demand to address multiple client needs/workflows. Manage a team of analyst to create asset driven cost models for a variety of critical minerals covering both the upstream and midstream Provide subject matter expert input to refine the client user interface Work with other teams on product & data roadmaps Build an understanding of customer needs and work towards maintaining strong working relationships with customers Develop and maintain strong working relationships with other groups and stakeholders across the entire S&P Global business What We're Looking For Basic Required Qualifications Experience creating bottoms-up economic models, preferably for the mining or commodities industry Proven track record of successful people leadership Excellent communication and presentation skills High technical literacy with delivery toolsets (excel, SQL, python etc.) Strong commercial mindset, with the ability to work with many stakeholders and take product from idea to reality Additional Preferred Qualifications Experience in the mining industry, at a mining company or financial institution covering the mining sector Strong knowledge of metal markets and supply chains Experience leading product development Compensation/Benefits Information S&P Global states that the anticipated base salary range for this position is $125,157 to $174,335. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at What's In It For You? Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), RESECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
Sep 23, 2026
Full time
Our Mission Advancing Essential Intelligence. About The Role Grade Level (for internal use): 12 The Team The Associate Director position is within the Metals & Mining group with the S&P Global Energy organization. The Metals & Mining group provides data and research on the entire mining value chain from exploration and mine pipelines through demand and price forecasting. Responsibilities and Impact The Associate Director will work closely with peers in both the S&P Global Energy organization along with S&P Global Market Intelligence to create comprehensive, cohesive and transparent coverage of the pricing, supply and demand outlooks for critical minerals - from assets to downstream demand to address multiple client needs/workflows. Manage a team of analyst to create asset driven cost models for a variety of critical minerals covering both the upstream and midstream Provide subject matter expert input to refine the client user interface Work with other teams on product & data roadmaps Build an understanding of customer needs and work towards maintaining strong working relationships with customers Develop and maintain strong working relationships with other groups and stakeholders across the entire S&P Global business What We're Looking For Basic Required Qualifications Experience creating bottoms-up economic models, preferably for the mining or commodities industry Proven track record of successful people leadership Excellent communication and presentation skills High technical literacy with delivery toolsets (excel, SQL, python etc.) Strong commercial mindset, with the ability to work with many stakeholders and take product from idea to reality Additional Preferred Qualifications Experience in the mining industry, at a mining company or financial institution covering the mining sector Strong knowledge of metal markets and supply chains Experience leading product development Compensation/Benefits Information S&P Global states that the anticipated base salary range for this position is $125,157 to $174,335. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at What's In It For You? Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), RESECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
Principal Cloud Engineer (Terraform) London About the Role As a CBRE Systems Engineer Principal -AI & CLoud Engineer, you will be an embedded technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE's cloud cost management practice. You bring deep, hands on expertise in data engineering and AI/ML, and you apply that expertise directly to FinOps problems - building the pipelines, models, and analytical tools that the team depends on every day. This role is a principal-level individual contributor. You are a highly skilled practitioner who goes deep on the most technically complex problems: designing high-quality data pipelines, developing and tuning AI/ML models, optimizing database performance, and translating raw multi-cloud billing data into reliable, actionable intelligence. You collaborate closely with FinOps analysts, cloud engineers, and platform leads to deliver engineering work that raises the quality and capability of the entire practice. What You'll Do Cloud Engineering & ETL/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event-driven ingestion, incremental loading, and change data capture. Design and implement layered data models and transformation logic (raw, conformed, aggregated) using tools such as dbt, Spark, and cloud-native processing services, ensuring data is clean, consistent, and ready for downstream consumption. Develop modular, reusable data transformation components and functions that can be shared across FinOps pipelines, reducing duplication and improving maintainability across the platform. Manage production pipelines end-to-end - orchestration, scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services - enabling other teams and internal platforms to consume cost intelligence programmatically. Contribute new features and capabilities to CBRE's FinOps platform, translating analyst and engineering requirements into well-structured, production-ready service components. Integrate data and AI services with internal platforms such as AIDP (Automated Infrastructure Deployment Platform) and ECMP (Enterprise Container Management Platform), embedding cost signals directly into existing engineering workflows. Follow software engineering best practices in all platform work: clean interfaces, unit testing, API versioning, containerization, and CI/CD deployment pipelines. Identify opportunities to refactor or modularize existing FinOps platform components, improving reliability, scalability, and ease of maintenance. AI/ML Model Development Develop, train, and evaluate machine learning models that address core FinOps use cases: cost anomaly detection, spend forecasting, workload rightsizing recommendations, and commitment coverage optimization. Implement and maintain MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows - such as natural language interfaces for cost querying, AI-assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts to validate model outputs against business expectations, refining approaches iteratively based on real-world feedback. Document model design, feature engineering decisions, and evaluation results to ensure team-wide understanding and reproducibility. Quality, Governance & Best Practices Implement and uphold data governance standards: lineage tracking, cataloging, column-level security, and RBAC for sensitive cost and financial data. Follow and actively contribute to team engineering standards for code quality, testing, documentation, and CI/CD - raising the bar for the team's collective output through code reviews and knowledge sharing. Apply extensive and diversified knowledge of data engineering principles, advanced techniques, and theories to solve complex FinOps data challenges. Lead by example and model behaviors consistent with CBRE RISE values - Respect, Integrity, Service, and Excellence. What You'll Need Bachelor's Degree preferred relevant experience. In lieu of a degree, a combination of experience and education will be considered. Hands on data engineering experience in production environments: ELT/ETL pipelines, lakehouses, data warehouses, and large scale analytical workloads. Applied AI/ML engineering experience with a track record of delivering models into production. Software or platform engineering experience building APIs, microservices, or backend services in a cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow / Azure Data Factory or equivalent orchestration, Data Lake / Apache Iceberg, and advanced SQL for large scale transformations. Microservices & APIs: experience building modular, production grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design principles including versioning, fault tolerance, and observability. Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse / Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization (Docker / Kubernetes), and infrastructure as code familiarity (Terraform or Bicep). Data governance: experience with data cataloging, lineage, access controls, and data quality frameworks in production data platforms. Competencies In-depth expertise in leading edge data engineering and AI/ML techniques and technologies, with the ability to identify and solve complex technical problems independently. Multi dimensional, conceptual, and innovative thinking - able to design creative solutions to FinOps data and AI challenges without direct supervision. Strong collaboration and communication skills - comfortable working alongside engineers and analysts at all levels, explaining technical work clearly to non technical stakeholders. Detail oriented approach to data quality, model reliability, and engineering rigor - takes ownership of the accuracy and dependability of the work delivered. Expert organizational skills with an unrivaled inquisitive mindset. In depth knowledge of Microsoft Office products including Word, Excel, and Outlook. Preferred Qualifications FinOps Certified Practitioner (FOCP) designation from the FinOps Foundation. Cloud data or AI certifications (e.g., Azure Data Engineer Associate, AWS Data Engineer Associate, GCP Professional Data Engineer, or equivalent ML/AI certifications). Experience with real time or near real time cost event streaming and alerting pipelines. Familiarity with FinOps Foundation framework concepts including the Inform, Optimize, and Operate phases. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realize your full potential. Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
Sep 23, 2026
Full time
Principal Cloud Engineer (Terraform) London About the Role As a CBRE Systems Engineer Principal -AI & CLoud Engineer, you will be an embedded technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE's cloud cost management practice. You bring deep, hands on expertise in data engineering and AI/ML, and you apply that expertise directly to FinOps problems - building the pipelines, models, and analytical tools that the team depends on every day. This role is a principal-level individual contributor. You are a highly skilled practitioner who goes deep on the most technically complex problems: designing high-quality data pipelines, developing and tuning AI/ML models, optimizing database performance, and translating raw multi-cloud billing data into reliable, actionable intelligence. You collaborate closely with FinOps analysts, cloud engineers, and platform leads to deliver engineering work that raises the quality and capability of the entire practice. What You'll Do Cloud Engineering & ETL/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event-driven ingestion, incremental loading, and change data capture. Design and implement layered data models and transformation logic (raw, conformed, aggregated) using tools such as dbt, Spark, and cloud-native processing services, ensuring data is clean, consistent, and ready for downstream consumption. Develop modular, reusable data transformation components and functions that can be shared across FinOps pipelines, reducing duplication and improving maintainability across the platform. Manage production pipelines end-to-end - orchestration, scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services - enabling other teams and internal platforms to consume cost intelligence programmatically. Contribute new features and capabilities to CBRE's FinOps platform, translating analyst and engineering requirements into well-structured, production-ready service components. Integrate data and AI services with internal platforms such as AIDP (Automated Infrastructure Deployment Platform) and ECMP (Enterprise Container Management Platform), embedding cost signals directly into existing engineering workflows. Follow software engineering best practices in all platform work: clean interfaces, unit testing, API versioning, containerization, and CI/CD deployment pipelines. Identify opportunities to refactor or modularize existing FinOps platform components, improving reliability, scalability, and ease of maintenance. AI/ML Model Development Develop, train, and evaluate machine learning models that address core FinOps use cases: cost anomaly detection, spend forecasting, workload rightsizing recommendations, and commitment coverage optimization. Implement and maintain MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows - such as natural language interfaces for cost querying, AI-assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts to validate model outputs against business expectations, refining approaches iteratively based on real-world feedback. Document model design, feature engineering decisions, and evaluation results to ensure team-wide understanding and reproducibility. Quality, Governance & Best Practices Implement and uphold data governance standards: lineage tracking, cataloging, column-level security, and RBAC for sensitive cost and financial data. Follow and actively contribute to team engineering standards for code quality, testing, documentation, and CI/CD - raising the bar for the team's collective output through code reviews and knowledge sharing. Apply extensive and diversified knowledge of data engineering principles, advanced techniques, and theories to solve complex FinOps data challenges. Lead by example and model behaviors consistent with CBRE RISE values - Respect, Integrity, Service, and Excellence. What You'll Need Bachelor's Degree preferred relevant experience. In lieu of a degree, a combination of experience and education will be considered. Hands on data engineering experience in production environments: ELT/ETL pipelines, lakehouses, data warehouses, and large scale analytical workloads. Applied AI/ML engineering experience with a track record of delivering models into production. Software or platform engineering experience building APIs, microservices, or backend services in a cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow / Azure Data Factory or equivalent orchestration, Data Lake / Apache Iceberg, and advanced SQL for large scale transformations. Microservices & APIs: experience building modular, production grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design principles including versioning, fault tolerance, and observability. Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse / Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization (Docker / Kubernetes), and infrastructure as code familiarity (Terraform or Bicep). Data governance: experience with data cataloging, lineage, access controls, and data quality frameworks in production data platforms. Competencies In-depth expertise in leading edge data engineering and AI/ML techniques and technologies, with the ability to identify and solve complex technical problems independently. Multi dimensional, conceptual, and innovative thinking - able to design creative solutions to FinOps data and AI challenges without direct supervision. Strong collaboration and communication skills - comfortable working alongside engineers and analysts at all levels, explaining technical work clearly to non technical stakeholders. Detail oriented approach to data quality, model reliability, and engineering rigor - takes ownership of the accuracy and dependability of the work delivered. Expert organizational skills with an unrivaled inquisitive mindset. In depth knowledge of Microsoft Office products including Word, Excel, and Outlook. Preferred Qualifications FinOps Certified Practitioner (FOCP) designation from the FinOps Foundation. Cloud data or AI certifications (e.g., Azure Data Engineer Associate, AWS Data Engineer Associate, GCP Professional Data Engineer, or equivalent ML/AI certifications). Experience with real time or near real time cost event streaming and alerting pipelines. Familiarity with FinOps Foundation framework concepts including the Inform, Optimize, and Operate phases. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realize your full potential. Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
Senior Lead - Reporting, Analytics and AI Make Power for Good RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we're solving are among the most important of our generation - and the people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive real decisions - within a company that's changing the world - this is the role for you. The Role Are you ready to shape the future of data-driven decision-making across one of the World's leading renewable energy businesses? At RES we are driving transformation through the power of data and insights - and we're looking for a visionary Senior Leader to join our Data and Analytics team - a Data and AI Architect and Platform to lead the way. In this pivotal role, you will be responsible for designing and delivering scalable, secure, and future-ready data, AI and analytics products and data models that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real-time data and insights that drive smarter, faster, and more impactful decisions. You'll be a key leader and 2IC for our global Data & AI Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about data and AI modelling, reporting, analytics and AI and making data accessible and actionable - we want to hear from you. You'll own the delivery of analytics and AI products at RES - turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business. This is a hands-on technical role and leadership role with 15+ years of experience required. You'll build data models, reports and analytics and apply LLMs and machine learning to business questions, delivering automation that cuts manual effort and unlocks new insight. You'll focus your energy on dimensional and semantic data modelling, analysis, AI application, and insight delivery - working with modern cloud platforms and data and AI infrastructure. You will work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. You will have leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Do Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. Work independently with senior executives, external vendors and cross-functional stakeholders to identify, prioritise, and document business requirements and use cases. Leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Deliver reporting, data modelling and advanced analytics across complex business domains - defining, validating, and owning the definitions, metrics and models that drive decisions. Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Apply machine learning, analytics and reporting to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs and AI products. Support and lead teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Bring Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Leading working groups and present to executive stakeholders with strong negotiating and influencing skills. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Strategy, planning and roadmap delivery and implementation to KPI standards. Semantic and dimensional data modelling - design comprehensive models from different source systems using state of the art modelling techniques, Kimbal, star schema and modern modelling tooling and automation of modelling. Data visualisation - ability to design clear, accurate, executive-ready outputs using tools such as Power BI or equivalent. Python and SQL - strong, hands-on proficiency for data analysis, modelling, and scripting. Machine learning - knowledge in building and applying supervised and unsupervised models to real business problems. Generative AI and LLMs - prompt engineering, RAG, and applied use of LLM tooling in an analytical context. Automation tooling - experience with platforms such as Power Platform, Power Automate, or equivalent. Communication, business requirements and leadership - working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills. Your Background Essential Degree in data science, data analytics, computer science. UK citizen or full UK work rights. No visa or sponsorship available. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Track record of working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Able to chair groups and regularly present to senior executive stakeholders with strong negotiating and influencing skills. Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Hands-on experience delivering extensive reporting, modelling and advanced analytics work across complex and diverse data domains and multiple source systems at enterprise level. 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact. Strong Python, modelling and SQL skills applied in an analytical context. Proven experience delivering comprehensive semantic and dimensional data models. Extensive experience with the Microsoft Azure platform for reporting, data development and analytics. Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric. . click apply for full job details
Sep 23, 2026
Full time
Senior Lead - Reporting, Analytics and AI Make Power for Good RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we're solving are among the most important of our generation - and the people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive real decisions - within a company that's changing the world - this is the role for you. The Role Are you ready to shape the future of data-driven decision-making across one of the World's leading renewable energy businesses? At RES we are driving transformation through the power of data and insights - and we're looking for a visionary Senior Leader to join our Data and Analytics team - a Data and AI Architect and Platform to lead the way. In this pivotal role, you will be responsible for designing and delivering scalable, secure, and future-ready data, AI and analytics products and data models that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real-time data and insights that drive smarter, faster, and more impactful decisions. You'll be a key leader and 2IC for our global Data & AI Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about data and AI modelling, reporting, analytics and AI and making data accessible and actionable - we want to hear from you. You'll own the delivery of analytics and AI products at RES - turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business. This is a hands-on technical role and leadership role with 15+ years of experience required. You'll build data models, reports and analytics and apply LLMs and machine learning to business questions, delivering automation that cuts manual effort and unlocks new insight. You'll focus your energy on dimensional and semantic data modelling, analysis, AI application, and insight delivery - working with modern cloud platforms and data and AI infrastructure. You will work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. You will have leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Do Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. You'll lead your own working groups and steering committees and present to executive stakeholders with strong negotiating and influencing skills. Work independently with senior executives, external vendors and cross-functional stakeholders to identify, prioritise, and document business requirements and use cases. Leadership and line management junior staff and federated teams, coaching, developing and being the global lead for reporting, analytics and AI. Supporting teams in moving from manual reporting to governed, AI-enabled analytics. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Deliver reporting, data modelling and advanced analytics across complex business domains - defining, validating, and owning the definitions, metrics and models that drive decisions. Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Apply machine learning, analytics and reporting to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs and AI products. Support and lead teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Bring Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Leading working groups and present to executive stakeholders with strong negotiating and influencing skills. Own the target-state for reporting, analytics and AY, including technical direction. Ensure reporting and analytics is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team, central and regional reporting, analytics and AI staff on best practices and provide global standards and guardrails Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Strategy, planning and roadmap delivery and implementation to KPI standards. Semantic and dimensional data modelling - design comprehensive models from different source systems using state of the art modelling techniques, Kimbal, star schema and modern modelling tooling and automation of modelling. Data visualisation - ability to design clear, accurate, executive-ready outputs using tools such as Power BI or equivalent. Python and SQL - strong, hands-on proficiency for data analysis, modelling, and scripting. Machine learning - knowledge in building and applying supervised and unsupervised models to real business problems. Generative AI and LLMs - prompt engineering, RAG, and applied use of LLM tooling in an analytical context. Automation tooling - experience with platforms such as Power Platform, Power Automate, or equivalent. Communication, business requirements and leadership - working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills. Your Background Essential Degree in data science, data analytics, computer science. UK citizen or full UK work rights. No visa or sponsorship available. Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Track record of working with senior executives to translate complex data into clear and prioritised requirements and products that drive business decisions. Able to chair groups and regularly present to senior executive stakeholders with strong negotiating and influencing skills. Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics. Hands-on experience delivering extensive reporting, modelling and advanced analytics work across complex and diverse data domains and multiple source systems at enterprise level. 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact. Strong Python, modelling and SQL skills applied in an analytical context. Proven experience delivering comprehensive semantic and dimensional data models. Extensive experience with the Microsoft Azure platform for reporting, data development and analytics. Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric. . click apply for full job details
Join TRG Screen: Building World-Class Teams. One Expert at a Time. Are you ready to be part of a dynamic team at the forefront of subscription spend management innovation? At TRG Screen, we're not just redefining how organizations manage their subscription expenses - we're shaping the future of the industry. With cutting-edge solutions and a commitment to excellence, we empower businesses around the globe to optimize their subscription investments and drive sustainable growth. Join us in our mission to revolutionize subscription management and make a meaningful impact on the way businesses access and utilize critical information. At TRG Screen, your talent and ambition will find a home, where opportunities for growth and advancement abound. About TRG Screen TRG Screen is the leading provider of market data and subscription management technology and automation solutions, tailored to the unique needs of financial institutions and legal firms. Our integrated suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years, TRG Screen has enabled businesses who rely on market data to monitor and strategically manage spending and usage of data and information services, including market data, research, software licenses, consulting and other necessary corporate expenses. TRG Screen solutions give decisionmakers full transparency into subscription spend and usage, enabling them to proactively manage subscription costs at scale, conduct more informed vendor negotiations, improve governance, and avoid unnecessary spending on these mission-critical business services. TRG Screen is headquartered in New York City, with offices in Europe and Asia, as well as a 24x7 client support center in Bangalore, India. TRG Screen is a portfolio company of Vista Equity Partners, one of the world's largest and most respected private equity firms. Customer Success Analyst Role Overview As a Customer Success Analyst, you will work directly with customers to ensure they have realized maximum value from our platform. Working in partnership with Customer Care, Sales, Professional Services, and Managed Services teams, you will help our customers achieve business goals and program impact while driving retention and growth for TRG Screen. You will be responsible for delivering an optimal customer experience, fostering positive customer outcomes, delivering proactive recommendations, and driving ongoing business impact. This role is ideal for candidates with customer-facing experience, analytics/data operations backgrounds, or strong analytical and problem-solving capabilities. You may support both Financial segment customers (banks, asset managers, hedge funds, and other enterprise financial institutions) and Legal segment customers (law firms and legal services organizations), managing market data workflows, compliance requirements, data operations, and operational efficiency. You will amplify the voice of the customer internally by driving continuous feedback into cross-functional teams on ways we can better serve our customers. MISSION Our mission is to help customers realize the full value of their TRG Screen investment by turning complex operational challenges into efficient, compliant, and scalable solutions. We partner with customers to reduce friction, improve visibility and adoption, and deliver measurable business value and ROI. For our customers across both segments, this means helping transform manual, error-prone processes into streamlined, auditable systems that reduce risk, improve efficiency, and empower teams to focus on work that matters most. Customer Success Analysts develop a deep understanding of customer goals, identifying innovative solutions which align to desired platform outcomes. You will partner with customers to value realization to ensure customers are achieving their identified business outcomes. When Our Customers Realize Success, TRG Realizes Success Via High Customer Satisfaction, Growth, And Retention. Key Areas Of Emphasis And Success Indicators For Our CS Analysts Include Retention: Retain recurring revenue in customer portfolio while actively monitoring usage and compliance health to identify at risk accounts early Positive Customer Experience: Build customer usage, adoption, and perceived ROI by delivering an optimized customer experience and proving value throughout the customer journey-with particular emphasis on operational efficiency and regulatory compliance Account Health & Risk Management: Monitor usage patterns, data quality, and contract compliance within customer portfolios. Proactively identify at risk customers and execute on heal plays to retain the customer and improve overall account health. Drive expansion through upselling of adjacent workflows, not just feature adoption. Required Skills & Capabilities Proven track record of helping customers drive sustained product adoption, customer satisfaction, and overall customer health Effective at establishing credibility and influencing executive and operational leadership within large enterprise organizations Skilled relationship builder who can develop trusted, multi level relationships across key stakeholders (IT, operations, procurement, technical) within customer organizations Proven ability to proactively nurture customer accounts to identify revenue expansion opportunities and ensure successful renewals Understanding of the customer journey and experience serving as a strategic advisor in translating customers' goals into outcomes through ownership and execution of a customer success plan Ability to prioritize accounts to focus efforts based on perceived risk, potential growth, strategic value, and renewal timeframe Well versed in communicating value and guiding customers to achieve their defined business objectives Ability to translate product functionality into business impact-comfortable discussing data lineage, accuracy, analytical validation and reporting with both technical and business stakeholders Can empathize with customers and stakeholders at all levels, with an ability to convert empathy into advocacy Ability to solve complex challenges independently and confidently Extensive experience leading effective and consistent customer Business Reviews based on defined rubric Strong written and verbal communication skills TECHNICAL FLUENCY Comfortable reviewing data and usage reports and explaining findings to customers Familiarity with AI assisted tools (e.g., for account insights, meeting intelligence, or workflow automation) and comfort utilizing these tools in a daily workflow BACKGROUND & EXPERIENCE (Preferred) Background in mathematics, analytics, science, data operations, or related analytical fields preferred Experience working within complex, highly regulated markets Previous experience using CRM systems (e.g., Salesforce) CHARACTERISTICS THE IDEAL CANDIDATE WILL POSSESS Curiosity Bias for action Resiliency Strong time management skills Comfort with ambiguity in data driven problem solving Strong analytical and quantitative thinking skills Comfortable adopting AI assisted tools to increase productivity and focus more time on strategic customer conversations. We expect CSMs to integrate these tools into daily workflows. Travel 25% annually for strategic customer meetings and team offsites About The Customer Success Team We're responsible for ensuring that clients have an amazing experience with TRG Screen. We are dedicated to every user's success and address challenges quickly and creatively. We act as staunch advocates for our clients, including identifying and responding to diverse client use cases. We take pride in developing personal relationships with our users and our team. We regularly support one another to ensure the success of our team and our clients. Our CSMs work across multiple segments and understand that our work directly impacts operational efficiency, compliance, and decision making for some of the world's largest enterprises. Join TRG Screen and unlock your potential in an environment where innovation thrives, opportunities abound, and your contributions make a difference. We are an equal opportunities employer. We recognise and value the power of diversity in our workplace and are committed to being an employer of choice for everyone. We welcome and encourage applicants from all backgrounds. All applications for employment are considered strictly on the basis of merit. At TRG Screen, we understand that diverse and inclusive teams are not just beneficial, they are essential to our success. We recognise that embracing diverse perspectives, backgrounds, and experiences fosters innovation, enhances problem solving capabilities, and drives better business outcomes. By cultivating a culture of inclusion where every voice is heard and valued, we empower our world class teams to thrive, excel, and drive positive change. We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply. . click apply for full job details
Sep 20, 2026
Full time
Join TRG Screen: Building World-Class Teams. One Expert at a Time. Are you ready to be part of a dynamic team at the forefront of subscription spend management innovation? At TRG Screen, we're not just redefining how organizations manage their subscription expenses - we're shaping the future of the industry. With cutting-edge solutions and a commitment to excellence, we empower businesses around the globe to optimize their subscription investments and drive sustainable growth. Join us in our mission to revolutionize subscription management and make a meaningful impact on the way businesses access and utilize critical information. At TRG Screen, your talent and ambition will find a home, where opportunities for growth and advancement abound. About TRG Screen TRG Screen is the leading provider of market data and subscription management technology and automation solutions, tailored to the unique needs of financial institutions and legal firms. Our integrated suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years, TRG Screen has enabled businesses who rely on market data to monitor and strategically manage spending and usage of data and information services, including market data, research, software licenses, consulting and other necessary corporate expenses. TRG Screen solutions give decisionmakers full transparency into subscription spend and usage, enabling them to proactively manage subscription costs at scale, conduct more informed vendor negotiations, improve governance, and avoid unnecessary spending on these mission-critical business services. TRG Screen is headquartered in New York City, with offices in Europe and Asia, as well as a 24x7 client support center in Bangalore, India. TRG Screen is a portfolio company of Vista Equity Partners, one of the world's largest and most respected private equity firms. Customer Success Analyst Role Overview As a Customer Success Analyst, you will work directly with customers to ensure they have realized maximum value from our platform. Working in partnership with Customer Care, Sales, Professional Services, and Managed Services teams, you will help our customers achieve business goals and program impact while driving retention and growth for TRG Screen. You will be responsible for delivering an optimal customer experience, fostering positive customer outcomes, delivering proactive recommendations, and driving ongoing business impact. This role is ideal for candidates with customer-facing experience, analytics/data operations backgrounds, or strong analytical and problem-solving capabilities. You may support both Financial segment customers (banks, asset managers, hedge funds, and other enterprise financial institutions) and Legal segment customers (law firms and legal services organizations), managing market data workflows, compliance requirements, data operations, and operational efficiency. You will amplify the voice of the customer internally by driving continuous feedback into cross-functional teams on ways we can better serve our customers. MISSION Our mission is to help customers realize the full value of their TRG Screen investment by turning complex operational challenges into efficient, compliant, and scalable solutions. We partner with customers to reduce friction, improve visibility and adoption, and deliver measurable business value and ROI. For our customers across both segments, this means helping transform manual, error-prone processes into streamlined, auditable systems that reduce risk, improve efficiency, and empower teams to focus on work that matters most. Customer Success Analysts develop a deep understanding of customer goals, identifying innovative solutions which align to desired platform outcomes. You will partner with customers to value realization to ensure customers are achieving their identified business outcomes. When Our Customers Realize Success, TRG Realizes Success Via High Customer Satisfaction, Growth, And Retention. Key Areas Of Emphasis And Success Indicators For Our CS Analysts Include Retention: Retain recurring revenue in customer portfolio while actively monitoring usage and compliance health to identify at risk accounts early Positive Customer Experience: Build customer usage, adoption, and perceived ROI by delivering an optimized customer experience and proving value throughout the customer journey-with particular emphasis on operational efficiency and regulatory compliance Account Health & Risk Management: Monitor usage patterns, data quality, and contract compliance within customer portfolios. Proactively identify at risk customers and execute on heal plays to retain the customer and improve overall account health. Drive expansion through upselling of adjacent workflows, not just feature adoption. Required Skills & Capabilities Proven track record of helping customers drive sustained product adoption, customer satisfaction, and overall customer health Effective at establishing credibility and influencing executive and operational leadership within large enterprise organizations Skilled relationship builder who can develop trusted, multi level relationships across key stakeholders (IT, operations, procurement, technical) within customer organizations Proven ability to proactively nurture customer accounts to identify revenue expansion opportunities and ensure successful renewals Understanding of the customer journey and experience serving as a strategic advisor in translating customers' goals into outcomes through ownership and execution of a customer success plan Ability to prioritize accounts to focus efforts based on perceived risk, potential growth, strategic value, and renewal timeframe Well versed in communicating value and guiding customers to achieve their defined business objectives Ability to translate product functionality into business impact-comfortable discussing data lineage, accuracy, analytical validation and reporting with both technical and business stakeholders Can empathize with customers and stakeholders at all levels, with an ability to convert empathy into advocacy Ability to solve complex challenges independently and confidently Extensive experience leading effective and consistent customer Business Reviews based on defined rubric Strong written and verbal communication skills TECHNICAL FLUENCY Comfortable reviewing data and usage reports and explaining findings to customers Familiarity with AI assisted tools (e.g., for account insights, meeting intelligence, or workflow automation) and comfort utilizing these tools in a daily workflow BACKGROUND & EXPERIENCE (Preferred) Background in mathematics, analytics, science, data operations, or related analytical fields preferred Experience working within complex, highly regulated markets Previous experience using CRM systems (e.g., Salesforce) CHARACTERISTICS THE IDEAL CANDIDATE WILL POSSESS Curiosity Bias for action Resiliency Strong time management skills Comfort with ambiguity in data driven problem solving Strong analytical and quantitative thinking skills Comfortable adopting AI assisted tools to increase productivity and focus more time on strategic customer conversations. We expect CSMs to integrate these tools into daily workflows. Travel 25% annually for strategic customer meetings and team offsites About The Customer Success Team We're responsible for ensuring that clients have an amazing experience with TRG Screen. We are dedicated to every user's success and address challenges quickly and creatively. We act as staunch advocates for our clients, including identifying and responding to diverse client use cases. We take pride in developing personal relationships with our users and our team. We regularly support one another to ensure the success of our team and our clients. Our CSMs work across multiple segments and understand that our work directly impacts operational efficiency, compliance, and decision making for some of the world's largest enterprises. Join TRG Screen and unlock your potential in an environment where innovation thrives, opportunities abound, and your contributions make a difference. We are an equal opportunities employer. We recognise and value the power of diversity in our workplace and are committed to being an employer of choice for everyone. We welcome and encourage applicants from all backgrounds. All applications for employment are considered strictly on the basis of merit. At TRG Screen, we understand that diverse and inclusive teams are not just beneficial, they are essential to our success. We recognise that embracing diverse perspectives, backgrounds, and experiences fosters innovation, enhances problem solving capabilities, and drives better business outcomes. By cultivating a culture of inclusion where every voice is heard and valued, we empower our world class teams to thrive, excel, and drive positive change. We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply. . click apply for full job details
Senior Information Analyst Band 6 Equivalent NHS Organisation Hybrid Working Available An NHS organisation in the South Midlands is seeking an experienced Senior Information Analyst to join its Finance team. This is an excellent opportunity for an analyst with NHS data, income or performance experience to play a key role in ensuring activity reporting, income monitoring and data quality processes support effective decision-making across the organisation. Working closely with Finance, Performance, Information and Operational teams, you will take responsibility for maintaining key income reporting systems, supporting commissioner reporting requirements and investigating data issues to ensure the organisation receives accurate reimbursement for the services it provides. Key Responsibilities Maintain and support the organisation's income reporting systems. Monitor and investigate data feeds, identifying and resolving issues. Produce regular income, activity and contract monitoring reports. Support national data submissions and undertake reconciliation of information across multiple reporting systems. Develop and improve reporting solutions, including Power BI dashboards and performance reporting tools. Respond to commissioner queries and support income validation activities. Provide technical advice and analytical support to both finance and non-finance stakeholders. Assist with Freedom of Information requests relating to activity and income data. Support wider finance systems, costing and reporting initiatives as required. About You We are keen to hear from candidates who have: Previous NHS experience within Information, Business Intelligence, Income, Performance, Contracting or Financial Management teams. Strong SQL skills with experience of extracting, manipulating and analysing complex datasets. Experience producing and interpreting activity, performance or income reports. Excellent analytical and problem-solving abilities. Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. Experience with Power BI or similar reporting platforms would be advantageous. Knowledge of NHS datasets, commissioner reporting processes or income systems would be highly desirable. What's on Offer? Opportunity to work within a highly collaborative Finance and Information function. Exposure to key income, reporting and performance workstreams. Flexible and hybrid working arrangements. A varied role with opportunities to influence reporting improvements and system development. NHS banding and benefits package. For a confidential discussion and further information, please get in touch.
Sep 19, 2026
Seasonal
Senior Information Analyst Band 6 Equivalent NHS Organisation Hybrid Working Available An NHS organisation in the South Midlands is seeking an experienced Senior Information Analyst to join its Finance team. This is an excellent opportunity for an analyst with NHS data, income or performance experience to play a key role in ensuring activity reporting, income monitoring and data quality processes support effective decision-making across the organisation. Working closely with Finance, Performance, Information and Operational teams, you will take responsibility for maintaining key income reporting systems, supporting commissioner reporting requirements and investigating data issues to ensure the organisation receives accurate reimbursement for the services it provides. Key Responsibilities Maintain and support the organisation's income reporting systems. Monitor and investigate data feeds, identifying and resolving issues. Produce regular income, activity and contract monitoring reports. Support national data submissions and undertake reconciliation of information across multiple reporting systems. Develop and improve reporting solutions, including Power BI dashboards and performance reporting tools. Respond to commissioner queries and support income validation activities. Provide technical advice and analytical support to both finance and non-finance stakeholders. Assist with Freedom of Information requests relating to activity and income data. Support wider finance systems, costing and reporting initiatives as required. About You We are keen to hear from candidates who have: Previous NHS experience within Information, Business Intelligence, Income, Performance, Contracting or Financial Management teams. Strong SQL skills with experience of extracting, manipulating and analysing complex datasets. Experience producing and interpreting activity, performance or income reports. Excellent analytical and problem-solving abilities. Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. Experience with Power BI or similar reporting platforms would be advantageous. Knowledge of NHS datasets, commissioner reporting processes or income systems would be highly desirable. What's on Offer? Opportunity to work within a highly collaborative Finance and Information function. Exposure to key income, reporting and performance workstreams. Flexible and hybrid working arrangements. A varied role with opportunities to influence reporting improvements and system development. NHS banding and benefits package. For a confidential discussion and further information, please get in touch.
Aioi R&D Lab Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. The Senior AI Commercialisation Strategist will support the successful delivery of Track 5 Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners. The role will lead the commercialisation strategy for Track 5, acting as the primary interface between research and industry to ensure programme outputs are translated into commercially viable opportunities. The role will work closely with researchers, engineers, industry stakeholders and programme partners to identify high-value use cases, develop evidence-based commercial propositions and business cases, and define commercial pathways that maximise the impact of programme outputs. The purpose of the role is to ensure: Research in privacy-preserving methods for AI is translated into practical business opportunities. Commercial use cases are identified, validated and prioritised with industry stakeholders. Business cases are developed, demonstrating measurable business value and return on investment. Research outputs have clear commercialisation pathways aligned to insurance and financial services. Provide strategic recommendations on the prioritisation of commercial opportunities, influencing programme investment and future research direction. Strong collaboration is maintained between technical research teams, business stakeholders and external partners to maximise programme impact. Responsibilities Opportunity & Market Validation Lead the identification, evaluation and prioritisation of commercially viable opportunities arising from programme research outputs. Validate commercial applications with insurers, industry partners and business stakeholders. Develop and maintain a commercialisation roadmap for programme research outputs. Commercial Value Assessment Work with insurers, business stakeholders and SMEs to understand operational challenges. Translate programme research outputs into measurable business outcomes. Quantify commercial benefits including cost reduction, operational efficiency, customer experience, risk reduction, revenue generation and competitive advantage. Lead the development of executive-level commercial propositions and business cases that inform investment and commercialisation decisions. Technical Translation Build strong relationships with relevant stakeholders within the tracks. Understand emerging AI technologies sufficiently to explain them to non-technical audiences. Translate complex AI concepts into business language supported by a Business Analyst who will undertake detailed analysis, documentation and requirements gathering. Market & Industry Analysis Monitor developments across emerging AI technologies relevant to the programme. Assess emerging technologies and market trends for applicability within insurance and financial services. Identify future commercial opportunities arising from advances in AI research. Stakeholder Management Build relationships with programme teams and business stakeholders. Facilitate workshops to identify business needs and validate opportunities Programme Support Lead the commercialisation strategy for Track 5. Shape the programme's long-term commercial roadmap. Influence programme investment decisions through commercial insight and market intelligence. Represent Track 5 at executive and strategic governance forums where required. Knowledge, Experience and Qualifications Commercial Experience developing executive-level business cases and influencing strategic investment decisions. Demonstrated ability to shape commercial strategy for emerging technologies. Ability to quantify business value and ROI. Experience working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into business language. (The role does not require hands-on model development or software engineering experience.) Industry Experience within one or more of: Insurance Financial Services Technology Consulting AI Product Management Innovation Stakeholder Skills Excellent communication skills. Strong workshop facilitation. Influencing without authority. Relationship building. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Sep 17, 2026
Contractor
Aioi R&D Lab Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. The Senior AI Commercialisation Strategist will support the successful delivery of Track 5 Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners. The role will lead the commercialisation strategy for Track 5, acting as the primary interface between research and industry to ensure programme outputs are translated into commercially viable opportunities. The role will work closely with researchers, engineers, industry stakeholders and programme partners to identify high-value use cases, develop evidence-based commercial propositions and business cases, and define commercial pathways that maximise the impact of programme outputs. The purpose of the role is to ensure: Research in privacy-preserving methods for AI is translated into practical business opportunities. Commercial use cases are identified, validated and prioritised with industry stakeholders. Business cases are developed, demonstrating measurable business value and return on investment. Research outputs have clear commercialisation pathways aligned to insurance and financial services. Provide strategic recommendations on the prioritisation of commercial opportunities, influencing programme investment and future research direction. Strong collaboration is maintained between technical research teams, business stakeholders and external partners to maximise programme impact. Responsibilities Opportunity & Market Validation Lead the identification, evaluation and prioritisation of commercially viable opportunities arising from programme research outputs. Validate commercial applications with insurers, industry partners and business stakeholders. Develop and maintain a commercialisation roadmap for programme research outputs. Commercial Value Assessment Work with insurers, business stakeholders and SMEs to understand operational challenges. Translate programme research outputs into measurable business outcomes. Quantify commercial benefits including cost reduction, operational efficiency, customer experience, risk reduction, revenue generation and competitive advantage. Lead the development of executive-level commercial propositions and business cases that inform investment and commercialisation decisions. Technical Translation Build strong relationships with relevant stakeholders within the tracks. Understand emerging AI technologies sufficiently to explain them to non-technical audiences. Translate complex AI concepts into business language supported by a Business Analyst who will undertake detailed analysis, documentation and requirements gathering. Market & Industry Analysis Monitor developments across emerging AI technologies relevant to the programme. Assess emerging technologies and market trends for applicability within insurance and financial services. Identify future commercial opportunities arising from advances in AI research. Stakeholder Management Build relationships with programme teams and business stakeholders. Facilitate workshops to identify business needs and validate opportunities Programme Support Lead the commercialisation strategy for Track 5. Shape the programme's long-term commercial roadmap. Influence programme investment decisions through commercial insight and market intelligence. Represent Track 5 at executive and strategic governance forums where required. Knowledge, Experience and Qualifications Commercial Experience developing executive-level business cases and influencing strategic investment decisions. Demonstrated ability to shape commercial strategy for emerging technologies. Ability to quantify business value and ROI. Experience working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into business language. (The role does not require hands-on model development or software engineering experience.) Industry Experience within one or more of: Insurance Financial Services Technology Consulting AI Product Management Innovation Stakeholder Skills Excellent communication skills. Strong workshop facilitation. Influencing without authority. Relationship building. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
CLS helps clients navigate the changing FX marketplace - reducing risk and creating efficiencies. Our extensive network and deep market intelligence enable CLS specialists to lead the development of standardized solutions to real market problems. Our innovative, forward-looking products make the trading process faster, easier, safer and more cost-effective - empowering our clients' success. Functional title Project Manager Location London N/A Contractor Report to Department No. of direct reports 0 Job purpose The Project Manager will lead a series of projects/initiatives within the CLS Internal Business Change ("IBC") Portfolio. The PM will be responsible for the successful delivery to time, budget and quality and will be required to work on projects simultaneously. These projects/initiatives cover system; upgrades, replacements, and new system installations for CLS's internal divisions (e.g. HR, Compliance, Finance etc.). The portfolio is predominantly composed of cloud system deliveries (SaaS) of commercial off-the shelf software (COTS) and cross-divisional transformations. The role will include liaising on a day to day basis with a series of senior CLS stakeholders (onshore and offshore), CLS's project management office, technical teams, and external delivery partners. Chairing periodic project meetings across a range of stakeholders and drafting project materials. The Project Manager will lead project teams of c. 10 to 12 people composed of technical and non-technical resources and report to the Head of CLS's Internal Business Change Portfolio. The Project Manager will also be expected to provide project cover to team members within the Internal Business Change portfolio. Essential Function / major duties and responsibilities of the job Day to day responsibilities include: Scope: Lead cross-divisional workshops and, with support of business analysts, ensure both functional and non-functional requirements are gathered and maintained throughout the life of the project. Time: Liaise with 3rd party suppliers and internal divisions to develop and maintain a consolidated project plan for all stages of the project's lifecycle. Cost: Manage budgets for projects including creating and maintaining finance tracking spreadsheets, and managing the associated purchase order & invoicing processes. Project Governance: Work with CLS's Project Management Office to ensure that the project adheres to CLS's delivery framework. Ensuring all documents on the project are kept up to date and to the expected quality (for example: business requirement documents, high level designs, test strategies, business cases, etc.). Additionally, provide progress updates within the relevant PMO tooling (e.g. SharePoint). Test Coordination: Liaise with CLS's test teams to coordinate all stages of testing on the project (including ST, SIT, UAT, NFT, and Penetration Testing). Communications: Run periodic project meetings (e.g. project boards, team meeting, etc.), communicating with teams and stakeholders both in the UK and offshore. Stakeholder Management: Work with the project's sponsor and other senior stakeholders to keep them effectively informed and communicate any messages they have to the project team. Managing day to day decisions on the sponsor's behalf, and knowing when to escalation Vendor Management: Manage vendor teams on a day to day basis (onshore and offshore) to enable them to complete their relevant elements of the project. Monitoring and controlling vendor performance and commercials as required. Risk and Issue Management: Monitor, record (via RAID logs), and appropriately elevate any risks, issues, and assumptions on the project. Technical Coordination: Liaise day to day with the relevant CLS technical teams, to ensure the systems development is completed from all areas (e.g. Architecture, IT Engineering, InfoSec, compliance, etc.) Experience / Qualifications / certifications essential and desired for successful job performance 7 years+ experience of leading projects from end-to-end, particularly implementation of SaaS products In-depth knowledge of the software development lifecycle (including associated artefacts) Strong understanding of IT Security control requirements for SaaS product implementations Experience working within financial services Experience of working in a highly procedural project environment Experience working directly with senior stakeholders at a C Suite level Proficient in Microsoft: Project, PowerPoint, Excel, and Word Experience of working on a project with data migration elements Experience of working on a project with integration elements Experience in working with offshore teams or stakeholders Experience of working on multiple projects concurrently APM, PMI, or Prince 2 qualified Knowledge and experience of both waterfall and agile methodologies Basic knowledge of business analysis e.g. how to write and manage user stories, etc. Success factors / 'How'. Personal characteristics contributing to an individual's ability to excel in the position Ability to work autonomously Enthusiastic and self-motivated Expert communicator with strong presentation skills Strong team leadership and interpersonal skills Good decision maker with strong problem-solving capabilities
Sep 08, 2026
Full time
CLS helps clients navigate the changing FX marketplace - reducing risk and creating efficiencies. Our extensive network and deep market intelligence enable CLS specialists to lead the development of standardized solutions to real market problems. Our innovative, forward-looking products make the trading process faster, easier, safer and more cost-effective - empowering our clients' success. Functional title Project Manager Location London N/A Contractor Report to Department No. of direct reports 0 Job purpose The Project Manager will lead a series of projects/initiatives within the CLS Internal Business Change ("IBC") Portfolio. The PM will be responsible for the successful delivery to time, budget and quality and will be required to work on projects simultaneously. These projects/initiatives cover system; upgrades, replacements, and new system installations for CLS's internal divisions (e.g. HR, Compliance, Finance etc.). The portfolio is predominantly composed of cloud system deliveries (SaaS) of commercial off-the shelf software (COTS) and cross-divisional transformations. The role will include liaising on a day to day basis with a series of senior CLS stakeholders (onshore and offshore), CLS's project management office, technical teams, and external delivery partners. Chairing periodic project meetings across a range of stakeholders and drafting project materials. The Project Manager will lead project teams of c. 10 to 12 people composed of technical and non-technical resources and report to the Head of CLS's Internal Business Change Portfolio. The Project Manager will also be expected to provide project cover to team members within the Internal Business Change portfolio. Essential Function / major duties and responsibilities of the job Day to day responsibilities include: Scope: Lead cross-divisional workshops and, with support of business analysts, ensure both functional and non-functional requirements are gathered and maintained throughout the life of the project. Time: Liaise with 3rd party suppliers and internal divisions to develop and maintain a consolidated project plan for all stages of the project's lifecycle. Cost: Manage budgets for projects including creating and maintaining finance tracking spreadsheets, and managing the associated purchase order & invoicing processes. Project Governance: Work with CLS's Project Management Office to ensure that the project adheres to CLS's delivery framework. Ensuring all documents on the project are kept up to date and to the expected quality (for example: business requirement documents, high level designs, test strategies, business cases, etc.). Additionally, provide progress updates within the relevant PMO tooling (e.g. SharePoint). Test Coordination: Liaise with CLS's test teams to coordinate all stages of testing on the project (including ST, SIT, UAT, NFT, and Penetration Testing). Communications: Run periodic project meetings (e.g. project boards, team meeting, etc.), communicating with teams and stakeholders both in the UK and offshore. Stakeholder Management: Work with the project's sponsor and other senior stakeholders to keep them effectively informed and communicate any messages they have to the project team. Managing day to day decisions on the sponsor's behalf, and knowing when to escalation Vendor Management: Manage vendor teams on a day to day basis (onshore and offshore) to enable them to complete their relevant elements of the project. Monitoring and controlling vendor performance and commercials as required. Risk and Issue Management: Monitor, record (via RAID logs), and appropriately elevate any risks, issues, and assumptions on the project. Technical Coordination: Liaise day to day with the relevant CLS technical teams, to ensure the systems development is completed from all areas (e.g. Architecture, IT Engineering, InfoSec, compliance, etc.) Experience / Qualifications / certifications essential and desired for successful job performance 7 years+ experience of leading projects from end-to-end, particularly implementation of SaaS products In-depth knowledge of the software development lifecycle (including associated artefacts) Strong understanding of IT Security control requirements for SaaS product implementations Experience working within financial services Experience of working in a highly procedural project environment Experience working directly with senior stakeholders at a C Suite level Proficient in Microsoft: Project, PowerPoint, Excel, and Word Experience of working on a project with data migration elements Experience of working on a project with integration elements Experience in working with offshore teams or stakeholders Experience of working on multiple projects concurrently APM, PMI, or Prince 2 qualified Knowledge and experience of both waterfall and agile methodologies Basic knowledge of business analysis e.g. how to write and manage user stories, etc. Success factors / 'How'. Personal characteristics contributing to an individual's ability to excel in the position Ability to work autonomously Enthusiastic and self-motivated Expert communicator with strong presentation skills Strong team leadership and interpersonal skills Good decision maker with strong problem-solving capabilities
