984 jobs found

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!

As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. Lime is hiring a Senior Analyst to join our Global Operations team. In this role, you'll be at the forefront of improving in-field repair quality performance- developing key metrics, building tools that drive real-time visibility, and delivering targeted analysis that informs operational decisions and strategic opportunities. You'll serve as the functional bridge between Local Operations and our Product organization, translating operational needs into structured data requirements and tooling improvements. You'll collaborate closely with Local Operations, Product, Data Science, and Hardware teams to help shape the future of Lime's in-field repair quality across all of our operations as we continue to scale. The ideal candidate is highly analytical, technically strong, and passionate about using data to solve complex problems. You're equally comfortable partnering with local operations teams and product or engineering stakeholders - and you know how to both structure a process and build a dashboard. If you have 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a drive to influence outcomes through insight, we'd love to hear from you. This is a hybrid role open to candidates located in London, Paris, or Berlin. The role requires occasional travel ( 10%) to Lime warehouses or other locations for team meetings. What You'll Do: Improve visibility into in-field repair quality: Define and maintain metrics to track repair performance, effectiveness, compliance, efficiency, and ROI - and build tooling to surface these insights in real time across operations Build models and dashboards: Use SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports for local operations teams - with robust logic, clearly defined assumptions, and intuitive interfaces Monitor trends and diagnose performance gaps: Track repair efficiency and quality compliance over time, identify root causes behind variances or emerging trends, and recommend actionable solutions at both tactical and strategic levels Turn operational complexity into structured clarity: Bridge Local Operations and Product/Tech by converting messy, real-world business needs into crisp specs, user stories, data requirements, and SOPs that teams can actually execute against Formalize and improve operational processes: Map and document quality workflows, surface inefficiencies, and partner with Local Operations to define and roll out improved standard operating procedures Collaborate with partner teams to improve efficiency: Provide insight and targeted analysis to troubleshoot issues or highlight opportunities. Partner with Operations leadership and local teams to land recommendations and drive action through to resolution Drive continuous improvement in data analytics capabilities across global operations: Contribute to a culture of data-driven decision making and analytical excellence through peer collaboration, knowledge sharing, and support About You: Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent). Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders Experience translating business needs into functional data and reporting requirements, ideally working closely with a Product or Engineering team Ability to structure and document operational processes, comfortable with ambiguity and working from first principles when standard frameworks don't exist Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders Preferred Experience: Python, Google Apps Script, or other automation/scripting capabilities are a strong plus Previous experience in a fast-paced, scaling operations environment (gig economy, last-mile, field services, or similar) Experience working closely with Product or Engineering teams on tooling/product improvements If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email for assistance.

Robotics Cloud Software Engineer Robotics Cloud Software Engineer III is a senior individual contributor responsible for architecting, developing, and scaling cloud services, dashboards, and data processing systems that support robotics and autonomous vehicle technology. This role combines cloud software engineering, distributed systems development, IoT platform integration, and hands on work with vehicles and robotic systems deployed in real world environments. Key Responsibilities Cloud Platform Development: design and develop scalable dashboards and user interfaces for robotics, traffic management and telemetry; integrate, transform, and combine multiple datasets to deliver meaningful, actionable user insights; use open source frameworks, tools, and libraries (NuxtJS, NestJS, Grafana, D3.js) to create visually rich and responsive dashboards; build cloud native APIs and microservices enabling machine to cloud communication using REST, gRPC, MQTT and messaging technologies; develop IoT solutions using Azure IoT Hub, Device Provisioning Service, Azure Event Hub, Azure Functions and other cloud services to support secure telemetry ingestion and bi directional device communication. Robotics and Telemetry Integration: integrate cloud services with vehicle and robotic systems, enabling telemetry streaming, remote monitoring, automation, and operator assist capabilities; build and maintain both real time and batch data ingestion pipelines using Azure Event Hub, Azure Stream Analytics, Azure Data Explorer and Cosmos DB; provide secure, reliable access for dealers and partners to HYMH databases via authenticated web service interfaces; collaborate closely with telemetry platform teams, robotics engineers, external vendors, and customer organizations to deliver end to end robotics functionality. Software Development, Testing and Reliability: simulate, verify and validate developed software to ensure it meets functional, integration and stakeholder requirements; deliver high quality software using Agile methodologies with an emphasis on reliability, scalability and system performance; implement observability using metrics, distributed logging and alerting (Azure Monitor, Application Insights, Prometheus, Grafana) to support high availability robotics solutions; contribute to engineering best practices, including documentation, coding standards, CI/CD pipelines and continuous improvement initiatives. Architecture and Technical Leadership: participate in architectural design and planning for cloud, data and robotics platform solutions, including IoT device management, telemetry architectures and data flows; mentor junior engineers and foster growth of technical expertise across the broader engineering team; contribute to sprint planning, design reviews, architecture sessions and cross functional technical discussions. Experience and Qualifications Bachelor's degree in electrical engineering, computer engineering, computer science or a related field. Four years of relevant engineering experience. Proficiency in at least one modern programming language such as Java, C++ or C#. Experience with SQL and NoSQL database development and automation of web queries. Experience working in an Agile software development environment. Experience with Microsoft Azure cloud services. Strong written and verbal communication skills. Strong analytical thinking, problem solving and design capabilities. Preferred Qualifications Exposure to robotics, autonomous vehicles, mobile or highway equipment, or industrial automation through coursework, internships, professional work or personal projects. Experience working with electrical engineering and embedded software teams. Experience with telemetry systems, IoT integration or fleet management platforms. Experience with ROS or ROS2, simulation environments or real time streaming data systems. Equal Opportunity Statement Hyster Yale Materials Handling, Inc. is an equal opportunity employer. The successful candidate will be subject to background checks.

We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. An exciting hybrid working opportunity has arisen for a talented and driven Senior BI Engineer based in our YourParkingSpace business in London (SE1). The Role As a Senior BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making. Beyond building and maintaining robust data infrastructure, you'll act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities are aligned with commercial priorities and that stakeholders across the business can confidently rely on data to inform their decisions. This is a hands on lead level role where you'll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high-quality, analytics ready datasets. You'll also have an important role in contributing to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that drives the most value, and communicate progress and trade offs clearly. How to make an impact Design, build, and maintain end to end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers. Own and improve existing data pipelines, ensuring high reliability, performance, and scalability. Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns. Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime. Implement best practices for BI engineering, including testing, documentation, version control, and observability. Continuously improve data architecture and workflows to support growing data volumes and evolving business needs. Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well scoped BI engineering work. Help shape and prioritise the BI engineering backlog, balancing technical improvements with high impact business requests. Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value. Your background 5+ years' experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team. Strong Python skills, with experience building ELT/ETL pipelines. Strong SQL skills, with experience building and optimizing complex transformations. Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics ready schemas. Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities. Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort. Strong communication skills, with the ability to explain technical concepts and trade offs to non-technical audiences. This role is hybrid role based in London (SE1), 3 days in the office per week, 2 days from home.

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!

The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience. Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week. No relocation support. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan's leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world's most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type "black dress". They search with mood, context, occasion, taste and intent: "something minimal for a summer wedding", "trainers like these but less obvious", "quiet luxury work bags under £500". Our job is to make Lyst understand what they mean - and help them discover products they could not have found anywhere else. We're looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities You'll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You'll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You'll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You'll shape how AI shows up in the product - not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You'll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high intent actions, more repeat usage and ultimately more orders. What you'll work on The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst's fashion data to make discovery feel more intelligent, more personal and more culturally aware. You're a Senior Product Manager who has worked on complex consumer product experiences - ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps. You're highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls. You're comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself. You have excellent product taste. You care about making discovery feel magical, not just functional. You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in. You're commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics. You're excited by fashion, culture and how people shop - not just by the mechanics of search. Benefits and Working Arrangements Our Ways of Working: We all come into the office on Tuesday and Thursday, with the option to work remotely or come into the office on the other days. We believe that in-person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Senior Azure DevOps Engineer - Shared Records Reporting To: Chief Software Engineer Department: Development Location: Milton Keynes/Homebased - with occasional travel to the office in Milton Keynes Overview Graphnet Health is the leading UK supplier of integrated healthcare solutions to the NHS. Our software solutions are helping to revolutionise patient care across the country, driving improved patient outcomes and patient satisfaction and delivering greater efficiency across the healthcare system. We have high ambitions and looking to bring in highly skilled individuals to help continue our adoption of Azure-native services and building a best-of-breed scalable SaaS platform for our solutions. The person we are looking for will need to have 5+ years enterprise experience with Azure, who can demonstrate a real passion for cloud technologies, with strong problem solving and critical thinking, good communication skills and a strong work ethic. Working within an existing DevOps team and part of a wider DevOps Consortium, the individual will have a diverse workload covering (but not limited to): Automation of infrastructure and software rollout using Azure DevOps pipelines, including quality gates such as approvals and code quality scanning and reusable templates to enable consistent scalable delivery. Design and maintain Infrastructure as Code using Terraform, including modular architectures, remote state management, and environment segregation with enterprise level governance. Support and operate enterprise scale cloud platforms across multiple regions and environments, ensuring resilience, consistency, and high availability. Design and develop automated scaling and failover using deep health checks and insights. Architect and implement cloud infrastructure aligned with the Azure Well Architected Framework, ensuring adherence to reliability, security, performance, operational excellence, and cost optimisation principles. Work closely with others, such as Development or Platform teams, to agree concepts/solutions that fulfil complex requirements yet remain achievable. Work closely with other departments, such as Ops and TechOps, to facilitate the smooth running of the cloud services by providing utilities/dashboards/scripts. Work closely with the Security teams to analyse and help remediate on internal and SoC flagged issues, create secure pipeline design and assisting with vulnerability remediation. Design, test, and continuously improve disaster recovery and business continuity strategies aligned to defined RTO/RPO targets. Education & Skills Required A demonstrable understanding of Azure PaaS components. Key areas: Containerisation and orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone principles. Azure SQL and Managed Instance. Event driven architecture (Service Bus, Event Grid). Data integration and processing using Data Factory / Databricks. Identity and Access Management (RBAC, Key Vault and Managed Identities). Azure networking (e.g. VNets, NSGs, Private endpoints, DNS, load balancing, Front Door) and understanding of the hub spoke topology. Proven experience designing and implementing CI/CD pipelines in GitHub Actions and/or Azure DevOps using YAML, including release strategies, approvals, and artifact management as well as testing integration. Strong experience with Git based workflows (branching strategies, repo management including pull requests and code reviews). Hands on experience and scripting skills in: HELM and Flux. Powershell and Azure CLI. Terraform. Experience in producing and maintaining technical documentation, standards, and reusable patterns to support knowledge sharing and team scalability. Advantageous Healthcare or Government related industry experience. Understanding of JIRA and Confluence. Exposure to AIOps practices, including intelligent monitoring and experience using AI assisted development and operations tooling e.g. GitHub Copilot, intelligent automation. Qualifications Microsoft certification(s) in Azure, such as AZ 400, AZ 305. Experience is valued over accreditation, however, there will be encouragement to gain accreditation during employment.

Principal ArchitectApplylocations: London: Oxfordtime type: Full timeposted on: Posted Todayjob requisition id: R111968 Principal Architect Are you passionate about designing future ready systems that balance performance, reliability, and simplicity? Do you thrive on setting technical direction and influencing engineering strategy across teams? About the team: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About the role: This position contributes to the definition of Enterprise Architecture within Elsevier, specifically related to the Shared Technologies that underpin our product portfolio. You will be responsible for driving forward the architecture strategy for Identity and Access, Enterprise API Management and the secure adoption and delivery of agentic AI solutions across the shared platforms that underpin all of Elsevier's products.Responsibilities include governing adherence to architectural principles and standards and working with architects and senior architects as a key interaction point for communication, evangelism, governance, and feedback. The position also requires working closely alongside our engineering, product, and business partners to understand their strategies and enable timely, efficient, and governed delivery of solutions to support them. Key responsibilities: Translate business needs and technology direction into scalable architectural solutions. Communicate complex technical concepts in a clear, business focused manner to support decision making. Partner with architects across the organization to ensure alignment, governance, and shared architectural direction. Collaborate with product and business strategy teams to anticipate long term technological needs. Evaluate new technologies and potential acquisitions as required. Define and implement technology strategies that promote standardization, reuse, and simplification. Plan for the evolution, retirement, and replacement of systems within the business unit. Provide architectural leadership and promote software engineering best practices. Review and approve changes to infrastructure components and subsystems. Lead architectural design for large scale development efforts. Act as a bridge between enterprise architecture and engineering teams. Work collaboratively with architects across different groups to ensure cohesive solutions. Introduce and support teams in adopting new technologies. Lead teams in identifying and resolving complex technical challenges. Present findings, risks, and solution options to support informed decision making. Guide technical direction and architectural evolution through reviews and hands on leadership. Identify opportunities to evolve components into shared infrastructure. Stay current with industry and technology advancements and explore opportunities to apply them. Advocate for and support the adoption of shared technologies across business units. Collaborate closely with shared technology teams to provide architectural guidance and support. Requirements: Qualifications Extensive experience (typically 15+ years) in software, network, or systems architecture. Significant experience leading cross functional or cross product architectural initiatives with measurable enterprise impact. Degree in Engineering or Computer Science, or equivalent practical experience Technical Skills Deep expertise in architectural design and governance. Strong understanding of programming concepts, databases, and modern engineering practices. Experience leading complex technical projects and collaborating with customers or external partners. Ability to work with vendors to align technology strategies with organizational architecture goals. Innovative mindset with experience in modern technologies, security, and infrastructure. Advanced skills in planning, prioritization, and managing multiple initiatives across teams. Strong problem solving abilities, including guiding teams through diagnosing and resolving complex issues. Clear and effective communication skills, with the ability to present technical concepts to diverse audiences, including senior leadership. Strong research and analytical skills. Ability to develop architectural business cases aligned with enterprise strategy. Expertise in APIs, API management, and API governance. Strong knowledge of modern authentication and authorization protocols (e.g., OAuth2, OIDC). Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

In Short: Our Direct to Consumer business is performing and growing strongly, which is why we - within the Commercial Platform team at On - are looking for a Senior Backend Engineer to scale On's online business to the next level. As an experienced engineer, you will be responsible to design, build, deploy, test and operate our digital services. You will be sitting in our office in London and collaborating closely with the cross-functional Digital teams across our key locations. The Senior Software Engineer role will report to the relevant Senior Lead - Engineering Manager within Commercial Technology. Your Mission As a Senior Backend Engineer in our Commercial cluster, you will be at the heart of On's digital ecosystem. You will design, build, and scale the critical services that power our global e-commerce platform, B2B partner portals, and retail experiences. Your work will directly impact how we deliver product information, checkout process and end-to-end e-com user experience, to our customers and partners, ensuring a seamless and premium experience that drives our commercial success. What You'll Do Design, develop, and maintain robust and scalable backend services using our modern tech stack, with a primary focus on NestJS, TypeScript, and GraphQL. Take ownership of key components within our Commercial cluster, ensuring they are performant, reliable, and meet the needs of various client applications (web, mobile, and third-party integrations). Collaborate closely with frontend engineers, product managers, and other stakeholders to deliver end-to-end features. Agentic engineering, comfortable using AI in your daily workflow. Deploy and operate your services in a cloud-native environment on Google Cloud Platform (GCP), using Kubernetes and Docker. Engage with and contribute to our distributed systems landscape, helping to build resilient systems that can handle our growing scale. Your Story A strong background in backend development, with proven experience building and shipping high-quality software. Proficiency in Node.js and TypeScript, with a deep understanding of modern backend frameworks. Hands-on experience with NestJS is a significant advantage. Solid experience in designing, building, and consuming GraphQL APIs. Strong knowledge of relational databases (e.g., PostgreSQL) and data modeling. Hands-on experience with cloud platforms (GCP is a plus) and containerization technologies (Docker, Kubernetes). You are a collaborative team player with excellent communication skills, comfortable working in an agile environment. Bonus points for experience with: ORM tools like MikroORM Event-driven systems (e.g., Kafka, BullMQ, Pub/Sub) E-com ecosystems Your Team: As you might expect from a running brand, the wider E-commerce team at On is a fast-paced place to be. You will work in the diverse Commercial Technology domain, collaborating with Software Engineers, QA Engineers, Product Managers, Data Analytics, Marketing and others of stream-aligned or platform teams that are located inthe Berlin, Zurich and London. What We Offer At On, we are a team of explorers, dreamers, and innovators. We live and breathe our mission to ignite the human spirit through movement. We offer a dynamic, fast-paced, and collaborative environment where you can make a real impact. You'll be surrounded by passionate and talented colleagues, with plenty of opportunities for professional growth and development. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Salary: £37,000 - 45,000 per year Requirements Proficiency in Python or R for data analysis and modelling. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Strong understanding of data wrangling, statistics, and exploratory data analysis. Excellent collaboration and communication skills. Familiarity with data visualisation tools such as matplotlib, seaborn, Tableau, or Power BI. Familiarity with cloud platforms such as AWS, Azure, or GCP, and data engineering practices. Knowledge of SQL and database querying. Understanding of model deployment techniques and MLOps. Awareness of AI ethics, fairness, and data privacy. A relevant BSc or MSc in Data Science, Computer Science, Statistics, or a related field would be beneficial. Responsibilities Develop, test, and deploy machine learning models and analytics solutions. Clean, process, and analyse structured and unstructured data from diverse sources. Conduct exploratory data analysis to identify meaningful patterns and insights. Collaborate with senior colleagues and stakeholders to understand business challenges and define requirements. Create clear and effective documentation and visualisations for both technical and non-technical audiences. Contribute to improving data science workflows through participation in code reviews and best practice development. Monitor and maintain model performance, including retraining and validation. Technologies AI AWS Azure Cloud GCP Machine Learning Power BI PyTorch Python SQL Tableau TensorFlow More We are a leading technology and services business at the forefront of delivering transformational AI solutions. This is a hybrid role based in our Derby offices, and we offer a salary of up to £45k per annum plus excellent benefits. You will work closely with Senior Data Scientists, engineers, and client teams in a collaborative, client-focused environment, with a strong opportunity to grow your foundational data science skills. last updated 30 week of 2026

Select how often (in days) to receive an alert: Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience from £41,762 to £52,202. Annual incentive related bonus (£1000 maximum bonus opportunity for the performance year). Attractive pension scheme (up to 12% company contribution). Development opportunities in line with the Telemetry Field Asset & Communications Engineer progression plan. 25 days annual leave plus bank holidays - plus two extra wellness days! Life assurance cover of 4 times pensionable salary. A great benefits package - choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme. Online GP service, cycle to work scheme, gym membership discounts and many more! Location: This role will initially be based in Bradford but we're moving our office to Leeds Valley Park in summer 2026, so you'll be based there in the future - Hybrid Working (up to two office days a week - Bradford/Leeds). Work type: Permanent. 37 hours per week, Monday - Friday. We have an exciting opportunity for a Telemetry Communication Engineer to join the Operational Technology team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do! Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, it's so much more than this. We look after communities, protect the environment, and plan to look after Yorkshire's water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the region's health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. Operational Technology are a key part of how we plan to meet the changing expectations of customers and regulators. The Operational Technology team sits at the heart of Yorkshire Water's operational network, ensuring that the systems used to monitor and control assets across the region are reliable, secure and effective. The team manages the technology that connects operational sites to central monitoring systems, enabling real-time insight into network performance. Through collaboration, innovation and technical expertise, the team supports safe and efficient operations while driving continuous improvement across Yorkshire Water's operational technology estate. Where you fit in! As our Telemetry Communication Engineer you will be: Monitoring and improving the performance of Yorkshire Water's telemetry and operational communications networks, ensuring reliable data flow from operational assets across the region. Analysing performance data and producing meaningful reports and insights that support decision-making and drive continuous improvement. Working closely with communication providers and technology partners to maximise network performance, resolve issues and ensure contractual service levels are achieved. Managing the day-to-day performance of key operational technology contracts, holding partners accountable and driving improvements where required. Investigating communication and telemetry issues, coordinating recovery plans and providing clear updates to stakeholders across the business. Maintaining the accuracy and integrity of telemetry asset records, supporting asset lifecycle planning and ensuring documentation remains up to date. Providing technical expertise and governance for telemetry solutions, ensuring compliance with engineering standards and supporting the transition of new assets into operational use. Identifying and evaluating new technologies, leading trials and innovation initiatives, and sharing knowledge and best practice through training, guidance and technical support. What skills & qualifications you will need: A recognised engineering qualification (HNC or above) in Electronic Engineering, Telecommunications Engineering, Control & Systems Engineering, or a related discipline, supported by relevant industry experience. Strong knowledge of telemetry and communications systems, including network architectures, communication protocols, fault diagnosis and performance optimisation. The ability to interpret and apply technical documentation, including engineering drawings, specifications, schematics and standards. Experience working within engineering compliance, governance and health & safety frameworks, with a commitment to delivering reliable, secure and compliant solutions. Excellent analytical and problem-solving skills, with the ability to make sound technical decisions, manage competing priorities and remain effective under pressure. Strong communication and stakeholder management skills, with experience building relationships across operational teams, suppliers, contractors and senior stakeholders. A collaborative approach to working, with the ability to share knowledge, mentor colleagues, support training initiatives and contribute to a positive team culture. A passion for innovation and continuous improvement, with an interest in emerging technologies and a proven ability to identify opportunities to enhance operational performance. Full UK driving licence. Membership of, or actively working towards membership of, a relevant professional body (such as the IET) is desirable. You will also benefit from having: Experience working with RTS systems, telemetry integration and communications technologies such as cellular, fibre, radio or satellite networks. Knowledge of cybersecurity principles within Operational Technology (OT) environments, alongside experience using data analytics tools to identify trends, diagnose issues and drive performance improvements. Experience leading technology trials, pilot deployments or proof-of-concept initiatives, with the ability to influence stakeholders and communicate complex technical concepts clearly. Familiarity with the water or utilities sector, including operational processes, asset lifecycle management, predictive maintenance approaches and continuous improvement practices. Although we operate 24 hours a day, 365 days a year, it's important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isn't always easy! Do we sound like your cup of tea? Closing date will be 9th August 2026. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible.

Responsibilities Perform exploratory data analysis on a range of complex business problems. Interpret business processes into data requirements. Define and enforce key data attribute governance strategies. Act as geographical data leader, reporting directly to the Data Architecture Manager. Collaborate on data team initiatives impacting Ontic's global strategic pillars. Administer and maintain the Snowflake Data Warehouse. Devise and maintain data engineering development standards in line with best practice. Contribute to data pipelines that clean, transform and aggregate data from disparate data sources into reporting data stores. Provide input on the company data strategy by suggesting and proving new technologies and innovations. Contribute to the translation of data into valuable insights that inform data driven decisions. Develop dashboards and reports to present data insights to stakeholders around the business. Support end-user technical questions and assist in data education. Host on-site data quality clinics. Participate in and audit data governance activities. Requirements Proven experience of administering and working in a Data Warehouse (experience of Snowflake highly preferred) Ability to influence a team of technical and non-technical stakeholders Experience building data models and flows from various sources using Kimball Dimensional Modelling techniques. Proven knowledge of data warehousing and data modelling principles. Experience of DBT Strong SQL programming experience in a commercial setting. Experience of using BI reporting tools (i.e. Power BI) with an ability to develop reports and dashboards. Awareness and familiarity with AI tool and technologies - preference for tools such as OpenAI Codex, Snowflake Cortex, Snowflake Intelligence Experience of administering, creating, and maintaining data pipelines in an ELT application that cleans, transforms, and aggregates data from disparate data sources into reporting data stores. Experience documenting ELT specifications such as source to target mappings, business rules and data validation requirements, ETL functional and non-functional requirements. Strong analytical and problem-solving skills with a keen attention to detail. Excellent oral and written communication skills for translating data insights into concise executive summaries and presentations. Ability to present findings in a structured, clear manner with actionable insights. Possess ability to both multi-task and manage priorities effectively with the ability to work proactively and independently in meeting stakeholder needs whilst adhering to tight deadlines. Appreciation of data security, CCPA, GDPR and PII data handling principles. A willingness to be utilised as a developer across other enterprise applications. Experience of working in the Aerospace, Engineering, Manufacturing sectors Experience with below toolset preferred: Snowflake cloud platform, Dbt, FiveTran, Precog, Microsoft Fabric/Power BI Analytics, GitHub, SDLC, Kimball Dimensional Modelling, Dynamics 365 Backend, Infor Syteline and/or Infor Visual ERP Backend, SQL

Jobtailor is seeking a skilled digital analytics engineer to own and maintain tracking across our web and mobile apps, ensuring accurate measurement of features and experiments. You will partner with Product and Engineering, manage GTM and data layer implementations, and translate requirements into reliable reporting in Looker and BigQuery. The role emphasizes collaboration, documentation, and proactive problem solving, with a focus on scalable, QA-driven measurement practices.

Overview Become part of our society. Do you have an interest in using data and technology to drive improvements for our Critical National Infrastructure (CNI)? Instrumentation, Control and Automation are at the heart of this matter. Sweco's Operational Technology team are growing to meet the increasing demand in this sector, and we are looking for talented individuals from all industries to join us. From bigger picture climate adaptation, sustainability, Water, Electricity, Gas and digitalisation challenges to everyday systems-thinking, adaptive planning and smart engineering. For this challenging and rewarding work we are looking for to join us in our 'Thinking in the Whole' approach to solving the key problems facing CNI utilities today and to prepare them for the future. To take on these challenges we're looking for Senior Project Managers, Project Managers, Project Co-ordinators, and Configuration and Commissioning Engineers to support a key client United Utilities, with a passion and aptitude for this type of work, who are wanting to take their career to the next level and move into the world of consultancy. What we offer A chance to work alongside UK leaders in CNI Operational Technology. To contribute to vital CNI projects. Opportunities for professional development. A collaborative environment where your fresh perspectives can lead to breakthrough solutions. Opportunities to learn our award-winning techniques and methods. What we're looking for Roles at all levels, preferably with water experience (but not essential), including the following. Senior Project Managers (OT/SCADA/PLC) Project Managers (OT/SCADA/PLC) Project Co-ordinators (OT/SCADA/PLC) Configuration and Commissioning Engineers (OT/SCADA/PLC) Individuals with a passion for innovation and sustainability. Professionals eager to apply and develop their skills in the Delivery of Instrumentation Control and Automation (ICA) activities, including PLC, HMI, SCADA, Telemetry, IoT, ML/AI, Edge analytics and control technologies, Cyber Security and Data Networks. Individuals who are problem-solvers, eager to learn and adapt to the challenges faced in Water, Electricity and Gas industries. Team players who can collaborate with diverse groups to achieve common goals. You'll be working for a top engineering consultancy experiencing an inclusive, friendly and flexible working environment where colleagues are encouraged to grow and develop. Sweco have accredited training schemes with several professional bodies as part of our Training Academy. If you want to make a meaningful contribution to society, if you are motivated to grow, and if you want to join a business with genuine opportunities for career progression, then we'd love to hear from you. Let's transform society together at Sweco! No agencies please. Employee Benefits Flexible and hybrid working (Flexworks Policy) Competitive pension contribution Life Assurance Private Medical Insurance Discretionary Annual Bonus Scheme Payment of two relevant professional subscriptions 25 days holiday plus bank holidays (with the option to purchase up to 5 additional days per year) Cycle2Work Scheme Employee Assistance Programme (wellbeing, mental health, financial and work advice) Employee discounts via Sweco Benefit Select (Faircare) Salary Sacrifice Electric Vehicle Scheme We plant a tree for all new starters! About Us Transforming society together, we're planning and designing sustainable communities and cities of the future. We bring together experts with different perspectives and skills to develop solutions addressing urbanisation, digitalisation and sustainability. We offer global expertise and local presence with flexible working options. Equality, Diversity & Inclusion We strive to have a friendly and inclusive culture which respects the contribution individuals can bring. We promote equality, inclusivity and diversity for everyone. We are an accredited Real Living Wage Employer and Disability Confident Committed. We have signed the Armed Forces Covenant.

Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About the role: We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production grade systems. Responsibilities: Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions. System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. Cross Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. We would love to hear from you if A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime Hands on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative instinct, you enjoy digging into data to find patterns others miss The ability to communicate technical findings clearly to non technical stakeholders and translate insights into action Comfort working in fast paced, cross functional teams with high ownership expectations What we can offer you Culture: We put our people first and prioritise the well being of every team member. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning: We have a learning and development focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation: You'll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits What to expect in the hiring process A preliminary phone call with the recruiter An interview with a business lead Technical take home task (SQL/Python test and case study) A behavioural and technical interview with the Head of Data Science and a member of the executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

About the Role: Grade Level (for internal use): 11 The Team: Corporates Credit Ratings is an integral part of the Global Ratings Services team, comprising a diverse group of 1,400 analysts across key financial hubs worldwide. We deliver high-quality insights and client service across all industry sectors. The Corporates practice assesses the creditworthiness of companies by analysing business risk, strategy, competitive position, and financial performance to produce opinions that support transparent, comparable decision-making. Analysts translate sector and company fundamentals into clear views on resilience across cycles, incorporating emerging themes such as AI-driven business change and shifting consumer and demand dynamics. The Impact: At S&P Global, our values-Discovery, Integrity, and Partnership-shape how we work, how we collaborate, and how we earn trust with customers and each other. We embrace AI as an enabler, guided by governance and risk management, to enhance the intelligence of our people and trusted insights. By leveraging technology with human expertise, we help teams navigate complexity and deliver actionable, decision-ready intelligence without compromising quality, accountability, or integrity. What You Stand to Gain: At S&P Global Ratings, you will contribute to independent credit opinions the market relies on, strengthened by innovation that accelerates analysis. We are People Forward. When you join S&P Global, you'll benefit from: Joining a diverse community where your growth and well-being come first-just like the 35,000+ colleagues who choose S&P Global every day. Bringing your best self to work in an environment that values inclusion, collaboration, and authentic engagement. Celebrating your achievements with us. We're committed to continuous learning, offering education, training, and career coaching to help you grow and adapt in a changing world. Connecting through our People Resource Groups, fostering awareness, engagement, and a sense of community-within S&P Global and beyond. Responsibilities: Team Contribution & Capability Building Provide day-to-day guidance/coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values-led behaviours. Drive consistency/scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights. Strengthen AI-enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work. Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgement. Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design, controls, and adoption support. Core Analytical & Delivery Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery across priorities with clear accountability. Own surveillance/updates for assigned portfolio, synthesising performance, market signals, and peer context into decision-useful insights and clear implications for risk. Supporting LLM tools/automation embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents in recurring workflows. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures. Prepare/review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards. Support maintenance/review of models to ensure robustness and repeatability and clear linkage to risk views. Stakeholder & Market Engagement Engage with external parties alongside senior team members. Craft client and executive-ready stories that translate complex data, analysis, and research into a clear narrative. Advising on issues within clear parameters, integrating and communicating complex information to convey S&P's analytical expertise and drive engagement with market participants. Build trusted stakeholder relationships through emotionally intelligent, collaborative and adaptable delivery. Risk Management and Operating Ensure adherence to methodology/confidentiality/data governance; escalate issues early with options/recommendations to protect integrity and trust. Embed responsible, governed AI use: approved tools/data only; protect confidential info. Drive controlled automation/agentic workflows by contributing to design requirements/controls, supporting testing/rollout, and training others. Supports decisions relating to guardrails for automation: defining what can be automated vs must remain human-led (especially material risk calls and committee conclusions). What We're Looking For: Team Contribution & Capability Building Ownership/execution maturity across multiple credits; delivers high quality with limited oversight and models values-led behaviour. Strong collaboration/relationship management; influences through credibility and constructive challenge. Coaching capability that improves team consistency through shared standards and tools. Continuous improvement mindset. AI fluency with judgement. Core Analytical & Delivery Strong credit/financial/risk analysis linking drivers to forward-looking views and risk appetite. Practical experience embedding AI/LLMs/agents into workflows to improve productivity and insight. Strong analytical tool capability; willingness to learn data/automation tools to facilitate AI-enabled workflows. Stakeholder & Market Engagement Strong synthesis into concise narratives for senior stakeholders/committees with transparent evidence. Effective written and verbal communicator, able to present research and analysis in a clear, structured way that supports informed decision making. Risk Management and Operating High standards for quality, traceability, and governance; operates effectively in controlled environments. Sound judgement on responsible AI use. Ability to contribute to scalable automation/agent workflows. Additional Information An S&P Global employee at this level would typically have three to five years' of relevant work experience. Education: Bachelor's degree or equivalent required. A master's degree or professional certification (such as CFA) is highly valued. Employees are required to work from the office a minimum of two days per week. Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. About S&P Global Ratings At S&P Global Ratings, analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights to translate complexity into clarity for market participants. We enable growth across organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global provides credit ratings, benchmarks, analytics, and workflow solutions in global markets. We help leading organizations navigate the economic landscape. For more information, visit Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration regardless of race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law. Electronic submissions only. If you need an accommodation during the application process, please email . US Candidates Only: Know Your Rights: Workplace discrimination is illegal. Additional information at . Job Identifiers: Job ID 330024; Location: London, United Kingdom.

Title Senior Data Scientist Job location Manchester, UK Description Step into a role as a Senior Data Scientist with one of our clients through the Mid-Level Accelerator programme. The role: In this role, you'll make an impact in the following ways: Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems, from proofs of concept to production-level deliverables, and produce thorough model evaluation and documentation to support decision-making and assess model risk Write patents and academic papers, with a focus on top-tier AI conferences and journals Define, create, and maintain actionable insights using data science and statistical analysis. Prepare analyses to provide business decision-supporting facts Thoroughly evaluate solutions and produce supporting documentation; assess results to ensure accurate business decision-supporting information Collaborate with colleagues and subject matter experts (SMEs) to obtain data and domain knowledge needed to conduct advanced analytics Continuously grow and develop skills across AI/ML and GenAI and increase business acumen Stay highly up to date with the latest advances in AI/GenAI, technology innovations, and banking industry trends. Share findings with the team, recommend areas for improvement, and promote adoption of AI tools and platforms Be proactive and autonomous in solving problems, demonstrating a strong sense of ownership and urgency Demonstrate leadership skills and ownership by taking initiative, making progress through teamwork and stakeholder engagement From free learning to a linked job role Our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java or JavaScript and are looking to progress their career and move into a Mid-Level technical role with a new and exciting opportunity with one of our clients. SKILLS YOU'LL DEVELOP T-Shaped Skill Set: become the go-to person for your technical specialism in addition to building on your collaborative skills to understand and empathise with other tech roles and stakeholders Technical Leadership: you'll develop your technical professional skills across mentoring, teamwork, stakeholder communication, and technical decision-making to put you on the pathway to senior individual contributor or technical management roles. Agility & Automation: taking part in modern software development process, you'll further develop your Agile, DevOps and automation skills, deploying to the cloud. Innovation & Inclusive products: by building products with DE&I at the core, you will further harness additional techniques in the software development process to foster the development of inclusive products. 100% FREE LEARNING LINKED TO JOB ROLES Just like all of our courses, the Mid-Level Accelerator is 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners. Benefits vary per client, but are competitive.