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A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.

A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.

A leading fintech company is seeking an experienced Senior Marketing Scientist to lead data analytics for its innovative multi-product app. You will analyze marketing campaign performance across various channels, drive experimentation rigor, and collaborate closely with product and credit managers. The ideal candidate has over 3 years of experience in analytics, strong SQL and Python skills, and excels in optimizing funnels and segmentation. This role offers competitive compensation, including equity, and remote work options on Mondays and Fridays.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.

About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies Co-operate with product and credit teams to ensure mid to deep funnel performance is improved. Data Product Involvement Influence data architecture by contributing to schema design that enable more insights Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams' agility Cross-Functional Partnership Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments. Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final Interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London

AI ENGINEER - AZURE &C# .NET or PYTHON Up to £60,000.00 Home Based with occasional travel Are You An AI Engineer, a strong Software Engineer transitioning into AI, or perhaps a Data/Automation Engineerwith some GenAI delivery experience? Why Not Join Us HereAt Simplify! If you decide that this AI Engineer position is the role for you,then you'll be joining the UK's largest group of property services, a businessthat is constantly looking to improve, and one that offers both excitingchallenges and job satisfaction. What You'll Be Doing We are seeking a capable and solutions focused AI Engineer to join our growing AI Team. This role blends Generative AI, Machine Learning (ML), Microsoft-centric software engineering, and integration, and is suited to someone who has delivered AI-powered solutions and is ready to deepen their expertise in an enterprise environment. You will work across Azure, M365, Copilot, Copilot Studio, Databricks, and modern engineering frameworks to deliver production grade AI services under agreed architecture and security standards. The role includes hands on experimentation and rapid proof of concept (PoC) development, with guidance from senior engineers on governance, risk, and best practice. You will help scale AI safely and sustainably across our property and legal services domain. We can offer the successful candidatementorship from Senior AI colleagues, support in architecture and governance, and opportunity to deepen Azure AI / Copilot / ML expertise. Key Responsibilities AI & GenAI Engineering Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns. Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations. Build conversational assistants and workflow automations using Copilot Studio and the Power Platform. Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility. Support evaluation and integration of third party AI tools or APIs where required, working with the team to meet governance and security requirements. Machine Leaning Engineering Develop and operationalise ML models with appropriate review and documentation. Translate prototypes into robust services, collaborating with engineering colleagues to meet non functional requirements. Create ML pipelines and automate lifecycle workflows using team tooling and standards. Assist with monitoring, optimisation, escalating risks and issues where appropriate. Microsoft Code-Based Development Build AI-enabled services and APIs using .NET/C#, Python, Azure Functions, and REST under guidance on patterns and quality. Use Visual Studio, VS Code, GitHub, and Azure DevOps for CI/CD. Contribute to deployments using infrastructure as code templates (e.g., Bicep or ARM), with support from senior engineers. Implement integrations with Logic Apps, Service Bus, and Event Grid using secure, approved patterns. Data, Engineering & Integration Work with data and AI platforms such as Databricks and Azure data services. Build and maintain pipelines for ML and LLM workloads, partnering with data engineering where needed. Integrate internal and external systems using secure authentication and authorisation approaches. Follow responsible AI, privacy, and security standards, contributing to risk assessment and documentation. Quality, Testing & Delivery Conduct evaluation, guardrail and regression testing. Document architectures, PoCs, and technical decisions. Collaborate with stakeholders to refine use cases and deliver solutions. Core Requirements Hands on experience building solutions with Azure AI Services and integrating them into applications and or data solutions. Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG). Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment. Proficiency in either C#/.NET or Python, plus SQL fundamentals. Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration. Experience using Git based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps). Strong communication and problem solving skills, including clear technical documentation Whilst not essential, we are especially keen to hear from candidates who candemonstrate knowledge andexperience in one or more of the following areas: building RAG solutions end to end and improving answer quality; Copilot Studio connectors/actions and Power Platform ALM; Databricks, Fabric, or Azure ML in a delivery setting; working knowledge of infrastructure as code and cloud deployment practices; understanding of REST API design and microservices patterns;awarness of emerging agent patterns ie, MCP/structured agentic architectures;and/or relevant certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, Power Platform Developer or Solution Architect, Databricks ML or Generative AI certifications, or Emerging AI and AI Solution certifications. Our People Simplify believes diversity brings benefits for our clients, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation.

Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. As a Senior Data Analyst, you'll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We're looking for an experienced Senior Data Analyst with hands on experience who can bring fresh thinking and new ways to inspire the team and our customers. What you'll be working on As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You'll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensuring our operational processes are well controlled and we meet regulatory requirements. Responsibilities Generate insights that can drive the direction of our Financial Health strategy through proactive analysis Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life Work and advise on Financial Health's global expansion strategy Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health Ensure accurate reporting to third parties and regulators Build and maintain controls to ensure our business processes are running as intended Lead projects to improve the accuracy, efficiency and accessibility of our data Tools & Technologies AWS for most of our backend infrastructure What you should bring What we're doing here at Monzo excites you! You are passionate about using data to improve and inform business decisions You're motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business You're as comfortable getting hands-on as taking a step back and thinking strategically You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same You have a solid grounding in SQL Experience in Financial Health is a plus, but not required. What's in it for you £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences Locations & Flexible Working Our main tech hub is in London, but our data teams are based all over the UK - from Brighton to the Western Isles. We love meeting in person, but there's no pressure to come into the office, even if you're nearby. You'll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You'll have the freedom to work in a way that fits your life, whether that's school drop-offs, avoiding rush hour, or making time for what matters most. About the Team Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster. At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability - all our data lives in one place and is made available via our data warehouse in Google BigQuery. Equal Opportunity Statement Monzo is an equal opportunity employer. All applicants will be considered for employment without regard to race, colour, religion, sex, national origin, age, disability, veteran status or any other characteristic protected by law.

PVD Applications Engineer page is loaded PVD Applications Engineerlocations: Newport, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Company Overview The SPTS division of KLA, designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Group/Division SPTS wafer processing solutions include market-leading silicon etch, dielectric etch, dry-release etch, PVD, PECVD and molecular vapor deposition (MVD(R), available with a range of wafer-handling options applicable to R&D, pilot production, or volume production environments. SPTS is headquartered and has its main manufacturing facility in Newport, UK, with additional manufacturing in Allentown, Pennsylvania. SPTS operates across 19 countries in Europe, North America and Asia-Pacific, and offers comprehensive service and spare parts support through a worldwide network of service centers and qualified local agents. Job Description/Preferred Qualifications Working as part of the PVD Applications team the primary responsibility of this role will be the development of advanced deposition technology. This will involve working on a wide range of materials and applications and developing new hardware and processes to meet market requirements. Additional responsibilities will include data analysis, writing technical reports for both internal and external use, reviews of technical literature, generating IP submissions and collaborating with other business units as required.This position may involve some international travel. Occasional shift working may be required. Key Responsibilities Development of PVD processes to meet technology roadmap targets and/or customer requirements Design of experiments and the assessment of results using analytical equipment and appropriate software packages Undertake problem solving and trouble-shooting Summarise results in a written report or presentation Plan work and execute plans in a safe and timely manner Research into published work relevant to KLA's process development Write invention disclosures/patent applications Communicate results and ideas to management & co-workers Experience The successful candidate will have: An ability to design experiments and analyse data to rapidly identify solutions to complex problems Good analytical skills including the ability to carry out metrology such as SEM Good oral and written communication skills The ability to work both autonomously and as part of a teamAnnual leave starting at 25 days (plus bank holidays), share scheme, contributory pension scheme, cash health plan, cycle to work scheme, global bonus plan, rewards scheme, life assurance and generous shift allowance. Minimum Qualifications Master's or Bachelor's Degree in Physics, Chemistry or Material Science We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.Now hiring curious minds who want to learn even more. Explore KLA atKLA is proud to be an Equal Opportunity Employer.We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at +1- to request accommodation.For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The Role Overview As a Data Science Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer: Hands-on experience with real-world projects Mentorship and training from experienced professionals Opportunities to network and grow within the field of data science A supportive and collaborative work environment Potential for a full-time offer upon successful completion of the internship This position is suited to a student in their penultimate year of university who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively to stakeholders Stay up-to-date with the latest developments in data science and AI technologies Qualifications An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject Skills and Experience A solid understanding of machine learning techniques and algorithms Experience of programming in Python, or similar associated tools An excellent communicator who's analytically minded with a practical approach to solving problems Your Package & Perks A competitive salary Flexible working hours 32 days holiday, including public holidays, plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with premium free hot drinks We are a disability-confident employer As such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application.

London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction where required - reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end to end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team . click apply for full job details

warpSpeed is pioneering the world's premier Application AI tool, elevating the use of Daily Tools to create unprecedented productivity and insights for users, moment by moment, hour by hour. We're on a mission to create hundreds of powerful life-changing AI services that usher in a new wave of intelligence, awareness, and productivity for the human race. The Opportunity: We're seeking visionary Senior Application Architect to join our team and play a pivotal role in shaping the technical foundation of our groundbreaking productivity platform. In this role, you'll be responsible for designing and overseeing the implementation of robust, scalable, and innovative AI-powered systems that form the core of warpSpeed's offerings. Key Responsibilities: Leading the design and architecture of warpSpeed's Application AI platform, ensuring scalability, performance, and integration of multiple AI services. Develop technical strategies to seamlessly integrate AI capabilities into daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Establish best practices, coding standards, and architectural guidelines for the development team. Evaluate and recommend new technologies, frameworks, and tools to enhance our AI capabilities and overall system performance. Lead technical discussions and present architectural decisions to both technical and non technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Hugging Face Transformers. Familiarity with time series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth and Impact: Technical Leadership and Innovation: Lead the architectural vision for a revolutionary Application AI platform. Opportunity to solve complex technical challenges at the intersection of AI, cloud computing, and productivity tools. Influence the direction of AI applications in daily software tools. Play a key role in a rapidly growing startup that's redefining productivity in the AI era. Opportunity to shape the future of work and personal productivity for millions of users. Clear path for career advancement as we expand our technical capabilities and market reach. Collaborative Environment: Work alongside world-class AI researchers, data scientists, and software engineers. Regular architecture review sessions and innovation workshops. Encouragement to explore and implement cutting edge technologies. Electric car salary sacrifice scheme. Market leading compensation. Flexible working arrangements. Team building events and celebrations.