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An innovative AI software startup is seeking a talented engineer to design and build foundational knowledge graphs for generative AI applications. This role focuses on implementing GraphRAG technology to enhance AI accuracy. With a profound impact on customer-facing products, candidates should have at least 3 years of experience with enterprise-scale knowledge graphs, expert Python skills, and strong knowledge of RAG methodologies. This position offers a remote work environment and the opportunity to shape cutting-edge AI solutions.

GoCardless is a global bank payment company. Over 100,000 businesses, from start ups to household names, use GoCardless to collect and send payments through direct debit, real time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one off payments, without the chasing, stress or expensive fees. We use AI powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high performance models at scale. What you'll do Manage and mentor a high performing team of Data Scientists, fostering a culture of technical excellence and supporting their long term career development. Oversee the end to end lifecycle of mission critical ML models that power real time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high impact goals. Drive cross functional impact by working closely across disciplines to build end to end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high performing team and fostering a culture of technical excellence. Solving the complex, real time challenges of fraud prevention and payment optimisation at scale. Building production grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high stakes domains. A hands on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade offs and translate complex ML concepts for cross functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12 month period. Hybrid Working: Our hybrid model offers flexibility, with in office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. As of July 2024, here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition, we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

A leading software company in Greater London is seeking an AI Research Scientist/Engineer to contribute to groundbreaking research in machine learning and AI. In this role, you'll develop innovative models and lead research projects. Candidates should hold a Master's or PhD in a relevant field and possess strong skills in Deep Learning, Python, and ML techniques. Join a diverse team focused on advancing technology and creating impactful solutions with AI.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. >Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you: Have significant software, ML, or research engineering experience. Have some experience contributing to empirical AI research projects. Have some familiarity with technical AI safety research. Prefer fast-moving collaborative projects to extensive solo efforts. Pick up slack, even if it goes outside your job description. Care about the impacts of AI. Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety. Have experience with LLMs. Have experience with reinforcement learning. Have experience with Kubernetes clusters and complex shared codebases. Candidates need not have: 100% of the skills needed to perform the job. Formal certifications or education credentials. The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits. Annual Salary: £250,000-£370,000 GBP Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

The Data ScientistGraduateis a key member of theclient-facingData Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics-driven strategies and solutions for Visa's external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders, and our clients in promoting an insight-driven culture, creative analytic solutions, and best practices to drive business performance with a clear commercial 'value' and measurable 'return'. Half of your day will involve delivering projects (coding/working with data), and the other half will be dedicated to discussing data requirements and managing internal and external meetings. Please bear in mind that our workload varies tremendously, as each project is very bespoke. Sometimes we might be delivering a CSV file; another time, a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end-to-end process, starting from gathering clients' requirements all the way to delivering actionableinsightsthat enable our clients to makedata-drivenbusiness decisions. Promote the use of data scienceto solve business challenges for external clients, showcasing creative and impactful solutions. Collaborate with VCA consultantsto identify and develop data science opportunities that support business development and revenue growth. Apply predictive modeling and machine learning techniquesto improve client outcomes in areas like customer acquisition, retention, and profitability. Analyze VisaNet datato uncover key performance metrics and identify issuer P&L opportunities that drive growth for clients and Visa. Deliver business-centric insightsthrough effective data visualization and storytelling that support strategic decision-making. Engage with internal and external stakeholdersto understand business requirements and translate them into actionable data science solutions. Manage multiple data science projects, ensuring clear scope, methodology, and alignment with client goals and timelines. Develop and execute analytic plansusing appropriate statistical and data mining techniques, while maintaining thorough project documentation. Enhance existing solutionsby introducing new methodologies, tools, and best practices in the field of data science. Automate processes and stay currentwith emerging tools, software, and techniques to continuously improve efficiency and innovation. What we're after: Permanent right to work in the UK Graduating in 2025 or in summer 2026. Graduate/Postgraduate degree (Master's or Ph.D.) in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience. Fluentin English. Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles. Familiarity with modern distributed systems, including Hadoop, SQL, MLP, and Apache Spark. Familiarity with one or more data analytics/programming tools such as Python. Knowledge of applying predictive modelling and machine learningtechniquesto problems. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

This is an exciting opportunity to join The Christie's Clinical Outcomes and Data Unit (CODU) as an Analytics Specialist with Data Science. Along with Analytics, Data Science and Statistics (ADSS) colleagues, you will provide dedicated support for the exciting new development of the Trust's Joint Analytics for Cancer (JAC) data platform and Future Christie digital ambitions, working closely with data engineering colleagues, supporting data mapping, data cataloguing and data quality improvement, utilising NLP and machine learning methods to help deliver the JAC and Future Christie 5 year plan. As a data expert, you will interpret information from multiple health care systems providing advice on best approaches for data utilisation and explaining technical data aspects to non-data experts. When completing your application please ensure you have read the attached job description and clearly evidence how you meet the essential and desirable criteria that are indicated as being assessed via the application form - short listing will be based on this evidence and you will also be asked about these should you be shortlisted for interview. After all applications have been reviewed, those applicants who have been shortlisted will be assessed via a two-stage interview process. First round of interviews will be virtual and involve a technical test. The second round will be an in-person interview held at our Withington site, a virtual option will not be offered for the second round. Main duties of the job Being the lead analyst assigned to support the JAC and Future Christie deliverables: Providing analytical insight and guidance to aid complex decision making. Working with DE colleagues on mapping, cataloguing and data quality evaluation and reporting. Investigating outliers and data quality issues, Generating data quality reports and advise on the implications of poor data quality. Providing data and analytical expertise to inform the procurement of the new JAC data platform. Designing and producing analytical and statistical outputs, incorporating data science tools and techniques, where appropriate. Presenting findings and analytical products to a wide range of audiences.Identifying the most applicable techniques and variables to meet the project's needs, investigating conflicting information. Completing project documentation and delivering projects to agreed specifications. Working as part of the ADSS team of analytics specialists to manage data and statistical/data science requests. Triaging, prioritising, and delegating requests. Any other duties commensurate with the post and grade that may be requested by Head of Analytics or ADSS Leads About us Please note: this is a hybrid role and will based on site full time initially, transitioning to working from home up to three days a week once the candidate is settled in the role. We are a customer facing service working with all members of the organisation, Executives, consultants, administrative staff and service users. We pride ourselves on our level of service, our quality of product and our ability to communicate and translate our data into intelligence. We work closely with stakeholders to ensure we delivering what they want, we are able to communicate the most advanced analytics and statistics to wide ranging audiences and we try to make our products as interesting and informative as possible. We are forward thinking, we like to try new approaches and to find innovative solutions even to long standing problems. We like a challenge, to learn new skills and to widen our horizons at any opportunity. Our team operate a hybrid working model, working from site a minimum of two days a week and from home up to three days a week. We are very open to and actively encourage flexible working. For this role you will be expected to be based on site full time initially, transitioning to WFH up to three days a week once settled into role. As a team, we come together in the office one day a week to meet up, share ideas, trouble shoot and learn from each other. We are all readily contactable via Teams when working from home, both as formal meetings and informal chats and meet ups. Job responsibilities DUTIES AND RESPONSIBILITIES The post holder will: Being the lead analyst assigned to support the JAC and Future Christie deliverables: Providing analytical insight and guidance to aid complex decision making.Working with DE colleagues on mapping, cataloguing and data quality evaluation and reporting.Investigating outliers and data quality issues,Generating data quality reports and advise on the implications of poor data quality.Providing data and analytical expertise to inform the procurement of the new JAC data platform.Providing insight into the impact and resources needed to transition to the new platform, ensuring the needs of CODU and ADSS are fully considered and met. Manage their own other day-to-day activities including: Designing and producing dashboards and statistical reports, incorporating data science tools and techniques, where appropriate. Presenting findings and analytical products to a wide range of audiences (technical and non-technical), including methodologies and recommendations where appropriate.Identifying the most applicable techniques and variables to meet the projects needs, investigating conflicting information.Completing project documentation and delivering projects to agreed specifications.Working as part of the ADSS team of analytics specialists to manage data and statistical/data science requests. Triaging, prioritising, and delegating requests. Recommend and lead on delivering improvements in reporting, software, or other systems. Particularly where the improvements contribute to the performance of the system or accuracy of data. Be an expert in the trusts reporting requirements and support this function. Identify and lead on opportunities to improve efficiency and accuracy of reporting. Lead on key projects with data engineering to improve the data repository, escalating where changes may impact on analyst products. Post holder must be adept at researching and understanding complex, multi-departmental clinical data flows. Test own work and peer-review team members work. Prioritise and plan own work appropriately. Explore and stay up to date with various analytics and data science techniques, advising on those optimal for the purpose and to improve own work area. Contact customers and digital colleagues, dealing with issues associated with access to data. Deliver bad news to customers and stakeholders when necessary, such as delays in provision of data; suggest alternative approaches; provide support to reduce data quality issues. Be point of escalation for concerns. Act as expert at understanding problems and utilising various software to provide data insight tools using appropriate analytical techniques. With exceptional attention to detail, help ensure high quality and efficient new processes are implemented to help improve CODU functions. Work closely with other teams in digital services (software development, data engineering) to understand cross over in work streams, and potential implications. Be continuously aware of changes to working practices for colleagues across the trust. Ensure that products are amended to reflect these changes and meet expectations of stakeholders. The post holder will be responsible for the direct day to day line management of data scientists, analysts and senior analysts. Demonstrates the agreed set of values and accountable for own attitude and behaviour. Person Specification Qualifications Post graduate level of education in an informatics / scientific / mathematical discipline Evidence of formal statistical training Able to demonstrate ongoing commitment to own personal development Database / dataflow / reporting practitioner certificates, e.g. SQL, Microsoft server tools PRINCE 2 Foundation or equivalent project management Experience Extensive experience in an analytics/data science role involving analysis and visualisation of complex data to inform decision making. Extensive experience of querying complex relational databases, preferably with SQL server management studio. Experience of utilising appropriate advanced analytical skills and statistical techniques to extract insights. Experience and demonstratable advanced skills in programming languages to query data, extract insights and solve problems using data e.g. Python, R. Experience of using data visualisation tools/software e.g. tableau, PowerBI, shiny. Experience of data quality / data integrity monitoring and improvement Experience of successfully managing several equally important tasks. Experience of a senior or lead role within a project. NHS experience involving close working relationships with senior managers, clinicians and multidisciplinary environment Experience of managing a data and analytics service to requestors, including supporting staff and their associated workload Skills Able to manage workload across a team and appraise work of others. Ability to influence working practices to improve efficiency and quality of outputs. Ability to think creatively and problem solve. Able to negotiate and then work to deadlines, prioritising and managing workload in a busy and changing environment. . click apply for full job details

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.