30 jobs found

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.

# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity With the continuing and rapid development of tax technology solutions and in particular Software-as-a-Service (SaaS) solutions, it is necessary to enhance our operational models to achieve success in the future. In preparation for the future, EY Tax and Law have created a new "Centre of Excellence" (CoE) to support SaaS solutions throughout their lifecycle. The objectives of the SaaS CoE are twofold: Operational management of Tax and Law SaaS solutions Sales enablement and support to drive the market success of these solutions The SaaS CoE currently supports Tax and Lax solutions Global VAT Reporting Tool (GVRT), Global Tax E-invoicing Solution (GTES), Mandatory Disclosure Regime (MDR) Web, EY GloBE Engine (Pillar II/BEPS) and Digital Tax Platform (DTP), and this number of solutions is expected to grow rapidly. The SaaS CoE sits within New Business Models, a global workstream looking to change how EY goes to market, builds products and collaborates effectively across different functions, geographies and business units. Your key responsibilities EY is looking for a visionary and strategic Chief Technology Officer (CTO) to provide technology leadership in our SaaS CoE. As the SaaS CoE CTO, you will be accountable for the endtoend technology vision and technical product execution across a global portfolio. This role requires a deep understanding of software development, cloud technologies, and industry trends (including AI and data); along with strong leadership skills to drive innovation and collaboration across teams. Additionally, the CTO will engage directly with clients to support strategic pursuits and gather valuable market feedback. Our global reach and combination of tax, tech, and client knowledge make us the perfect platform to build your career. Your responsibilities will include: Technology Strategy & Leadership Develop and execute the technology strategy for the SaaS CoE, aligning with the overall business objectives Collaborate closely with the Global SaaS CoE leader, Product leaders, and the Global Tax CTO in execution of the technology strategy Develop and continually enhance the target architecture, covering platform strategy, system integrations, cloud infrastructure, security posture, and scalability standards Own technology governance frameworks, engineering standards, and lifecycle practices across all solutions (GVRT, GTES, MDR Web, GloBE Engine, DTP, and future assets) Drive adoption of engineering excellence, DevSecOps, automation, and AIenabled development capabilities Stay abreast of emerging technologies and industry trends, including AI and data, to ensure the organisation remains competitive and innovative Foster a culture of continuous improvement, encouraging teams to adopt best practices in software development and agile methodologies Mentor and develop technology teams, promoting professional growth and knowledge sharing Product Delivery & Lifecycle Oversight Lead the design, development, and deployment of scalable and secure SaaS solutions, in collaboration with our Client Technology team and vendors Oversee product engineering across all SaaS solutions, ensuring delivery quality, reliability and roadmap execution Partner closely with Product teams to define technical requirements, delivery timelines and release planning Ensure products meet global compliance, security, and dataretention requirements (including crossborder, regulatory, and ASPaligned standards, where applicable) Operational Excellence Oversee governance around core operational functions, in collaboration with Client Technology, covering incident management, performance, quality, change management, cloud operations and cost optimisation Drive efficiencies across global delivery hubs, promoting centralisation, and standardisation Ensure compliance with industry standards and regulations related to data security and privacy Crossfunctional Leadership & Stakeholder Management Work closely with global Tax leadership on strategic direction, investment planning and talent strategy Provide thought leadership at executive governance forums and SteerCo meetings Act as the senior technology counterpart to Product, Go-to-market, Marketing, Customer Success and Operations teams Manage relationships with external technology partners and vendors to leverage their expertise and solutions Work with cross-functional teams to identify and prioritise technology initiatives that enhance product offerings and improve customer experience Engage with clients to understand their needs, support strategic pursuits and gather feedback to inform product development and enhancements New Business Models Lead technical evaluation of new product opportunities, emerging technologies, and ecosystem partnerships Shape and support EY's techled innovation roadmap, ensuring alignment to market needs and global scalability Partner with crossserviceline teams to enable collaboration and cocreation opportunities Skills and attributes for success Proven experience in a senior technology leadership role, preferably as a CTO or equivalent in a SaaS environment Deep understanding of SaaS architecture, enterprise cloud platforms (Azure preferred), and secure, scalable multi tenant systems Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate across all levels of the organisation Proven success driving engineering maturity, technical governance, and platform standardisation Experience in client-facing roles, with a track record of supporting strategic pursuits and gathering market insights Ability to thrive under pressure while managing multiple complex programs and stakeholders Demonstrated ability to drive innovation and manage change in a fast paced environment To qualify for the role, you must have 10+ years' experience in a technology leadership role within a large global organisation, ideally within the tax and/or SaaS market Prior experience owning or driving large scale SaaS product portfolios Demonstrated expertise in cloud architecture, software engineering, DevOps, and product lifecycle management Strong knowledge of agile methodologies and modern engineering practices Experience with data analytics, machine learning, and AI technologies Excellent communication skills and the maturity to work closely with global executive leadership Ideally, you'll also have Experience working within professional services or a regulated global organisation Track record of delivering tax, finance, or compliance technology platforms Familiarity with EY internal systems, technology governance, and operational frameworks Knowledge of regulatory requirements and industry standards related to SaaS solutions Proven track record of successfully launching and scaling SaaS products in a competitive market Familiarity with DevOps practices and tools to enhance software delivery and operational efficiency What we look for We're seeking a transformational technology leader who can set the vision, build trust, and scale a global technology function. You will bring a strategic mindset, a passion for innovation, and the ability to mobilise high performing teams across geographies and disciplines What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . Are you ready to shape your future with confidence? Apply today. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

J OB P ROFILE DESCRIPTION M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI.Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .

For airports, for partners, for people. We are CAVU. At CAVU, our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody-from the smallest ideas to the biggest transformations. Every day is an opportunity to create better travel experiences. From our revenue-accelerating single-platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges, our solutions make travel smoother for passengers and more profitable for our clients and partners. We know that to bring your best ideas, you need the space to think, the support to grow, and the freedom to be your authentic self. Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel. If you're looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? CAVU is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we progress towards a fully event-based architecture with data quality at the heart of everything we do, we're now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function-ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You'll bring deep expertise across modern data engineering practices, strong technical solution-design capability (particularly with Databricks), and the leadership to empower a high-performing engineering team. Key Responsibilities Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation. Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions. Data Architecture: Design, oversee, and continually improve CAVU's data storage, processing, and integration architecture. Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage. Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets CAVU standards. Data Quality & Governance: Establish and champion best practices for data quality, governance, observability, and security. Technology Evaluation: Stay ahead of data engineering trends and evaluate emerging tools to enhance the team's capabilities. Budget & Resource Management: Own the data engineering budget and ensure efficient use of infrastructure and resources. Stakeholder Management: Anticipate issues, remove blockers, and communicate effectively with technical and non-technical stakeholders. About You You're a strategic and hands-on data leader with a passion for building scalable systems, high-performing teams, and exceptional data products. You're motivated by solving complex problems, enabling others to thrive, and shaping the future of data at CAVU. Qualifications & Experience Strong experience with medallion architecture and Databricks Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks Strong programming skills (Python, Scala or Java) Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills with the ability to bring clarity to complexity Proven ability to anticipate problems and resolve them with ease Preferred Experience working in a SaaS environment Exposure to machine learning and AI tooling The Perks 25 days holiday, increasing with service (up to 28) Option to buy up to 10 extra days + 4 flexible bank holidays 10% company pension On-site gym A range of flexible benefits and discounts, including up to 50% off CAVU products such as Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to health & wellbeing events, ID&E activities, and learning opportunities Formal and informal development options, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process Recruiter Screen (approx. 15 minutes) - We'll cover your experience, motivations, and role fit Skills & Competency Interview Values Interview Equal Opportunities & Reasonable Adjustments We're building something brilliant at CAVU: a diverse team of People who reflect the global customer base that we serve. We're proudly part of MAG and together we're on a mission to be number one in our industries, and that takes talent in all its forms. With so many exciting roles across businesses, there's space of your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you - even if you don't think you tick every box. What matters most is what you bring. We're proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We're committed to helping you perform at your best. At MAG and CAVU, every journey matters. Our Colleague Communities play a big part in that: Women's Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection. Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Engineer to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting-edge ideas into working prototypes and real-world applications. Key Responsibilities Conduct original research in reinforcement learning or Bayesian optimisation for LLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML). Design and implement new algorithms and models that enable advanced reasoning, planning, perception, or multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to AI for science. Actively engage with the broader research community through publications and open source contributions. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required Master or PhD or currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Expertise in at least one of the following: Reinforcement learning, Bayesian optimisation, world models, LLMs. (Understanding mathematical foundation behind main approaches in mentioned fields) Proficiency in Python and experience with PyTorch. Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications. Desired Demonstrated research track record with first author publications at top tier ML/AI conferences (NeurIPS, ICML, ICLR, etc.) Hands on experience with RL fine tuning frameworks (e.g., TRL, verl) and distributed multi GPU training. Active GitHub portfolio showcasing relevant ML/AI projects. Strong interest in AI for science, world models, or reasoning systems for large language models.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Become part of our People and Change Team We create purposeful,innovativeand sustainable organisations that people want to be a part of. We do this by harnessing the power of people, data and technology to design, deliver and embed lasting change. Our work enables organisations and their people to perform at their highest potential in an increasingly digital, data,andAI enabledworld. Ourdiverse teamadviseclients on strategic workforce and organisational challenges, combining deep changeexpertisewith digital, data and AI-driven transformation. We work collaboratively across disciplines to design solutions that are practical,human-centredandoutcomes focused. We collaborate with cross-functional teams to create solutions tailored to client needs underpinned by our insights into emerging trends including AI, HRtechnologiesand workforce analytics. TheRole We arecurrentlyrecruitingChange Management Consultants(ConsultantAnalyst,Consultant, SeniorConsultantgrades)with proven experience in digital change experienceattainedwithin industry or a consulting role to join our People and Change Capability. You will help clients design and deliver digital change and transformation programmes, integrating technology adoption withbehaviour change,organisational change, workforce transformation, and new ways of working. You will typically work on complex transformation programmes where success depends on both technology and people adoption. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Qualifications This role is ideal for hybrid profiles who combine strengths in change management with digital, data, agile or product-led delivery. We are looking for experiencein one or more of the following: Designing and deliveringdigital and datatransformationprogrammesthat balancetechnology implementationwith behavioural and cultural change. Practical experience applying change management fundamentals and methodologies (impact assessment, engagement, communications, adoption measurement) in fastmoving digital environments. Embeddingdigital-first ways of working to drive enablement and adoption, includingend-useradoption, mindset shift, capability building and coaching for leaders and teams. Understanding and application ofdigital toolsand techniques, such asmachinelearning, automation,andpredictive analytics,todevelop insights,inform decision-making,and enhance collaboration. Assessing the impact of large-scale digital transformations andunderstanding ofbehaviourchange topreparingbehaviouralinterventions that embed new ways of workingacrossall levels of an organisationto embracenew technologyand adapt ways of working to achieveorganisationalbenefits. Integrating dataanalytics, interpretationand insights into changemanagement,workforce planning, and decision-making processes. Understanding how digital platforms(e. g. ERP)impact workforce planning, culture, and decision-making. Leveraging data to measure change readiness, effectiveness,and enable informed decision making. Advising on skills implications of digital and AI adoption, including reskilling, capabilityupliftand workforce transition. Conducting user research and engagement activities (interviews, workshops, usability testing) to informdigitalchange strategies. You will bring many of the following attributes: Highlevelsofemotional intelligenceand experience working with a range of stakeholders so that youcan adaptyour approach to different client and organisational contexts. A collaborative and enthusiastic style,with flexibility to work on diverse challenges in small,cross functional, or largeteams. Strong analyticalthinkingandproblem-solvingskillswithan ability to deliverypracticalresults. Excellent written andoralcommunication skillswhich enableyouto translate complex digital concepts into clear,human-centredmessages. The ability to build trusted relationships quickly withcolleagues,clientsand senior stakeholders. Aforward-thinkingmindset with a strong interest in future of work, AI, digital transformation, workforcestrategyand people analytics. Professional accreditation or formal training (e.g. change management, agile, product, data or digital) is helpful but not essential. We place strong emphasis on learning and development. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

What we do: At Goldman Sachs, our Engineers don't just make things - we make things possible. We strive to change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Fixed Income, Currencies and Commodities trading is a key revenue generating division for Goldman Sachs and Interest Rate Products form a large part of that business. The Interest Rate Products (IRP) Trading & Sales desk assists Goldman Sachs' clients in managing their exposure to interest rate risk by offering a range of financial instruments. This is a critical function for our clients and the firm, and the products offered range from simple government bonds and vanilla Interest Rate Swaps to more exotic structured interest rate derivatives. Engineering is comprised of our Technology Division and Global Strategists groups. It is at the center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who we look for: Goldman Sachs Engineers are innovators and problem-solvers, building solutions in order management, big data, pricing and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. As an Interest Rate Product Engineer, you will play a key role in developing software solutions that will help institutional clients buy and sell interest rate related financial instruments on liquidity venues around the world. In addition, you will also be challenged with designing and implementing innovative software solutions that will enable IRP Trading and Sales efficiently their manage their risk, positions and PNL. We look for individuals who are able to embrace AI to help design, build as well as incorporate AI into trading workflows. You will be expected to work closely with a number of internal clients including trading, sales, strategists and operations and will be involved in every stage of the software development life-cycle. Given the global nature of the business, you will often work with counterparts in other regional offices on projects and learn about different local markets and different financial products as well. Basic Qualifications: STEM degree Strong hands on programming experience, in at least one object oriented language (Java / Python) Proficient in AI assisted development Knowledge of data structures, algorithms, and designing for performance Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople Preferred Qualifications: Experience in Java or Python (5 years +) Experience in messaging middleware like Kafka, RabbitMQ Experience in developing and testing distributed systems DAILY ACTIVITIES: Interact with users to understand business flows and define requirements. Implement new software and enhancements to existing systems. Contribute to Quality Control (Code/Design reviews). Provide L3 application support. Provide technical support to trading, sales and operations. Review incidents and identify root causes and follow ups. ABOUT GOLDMAN SACHS: At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law

Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Senior/Lead Product Analyst (Product Strategy - Card Squad) Office: United Kingdom About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role As a Senior / Lead Product Analyst you'll be at the centre of strategic decision-making within your team. Working as part of a cross-functional squad alongside product managers, designers, and engineers, you'll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products. You'll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo. We are looking for a self-starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product. This is a Level 3 ("Senior") or Level 4 ("Lead") position. Cleo has 5 internal levels of competency within Product Analytics. What you'll be doing Conducting deep-dive analysis in your product domain to understand user behaviour Working with Product, Machine Learning, Design, and Engineering team members in your area to build an insight-driven product strategy that leads to high-impact outcomes. Influencing the roadmap of your team through presentation of data-based recommendations Defining how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters Conducting regular A/B tests and causal analyses to determine the impact of product changes on success metrics Building models of user segmentation, marketing attribution, customer lifetime value, etc. Working with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase What We're Looking For 5+ years of experience doing quantitative analysis within a digital product environment Experience conducting large-scale A/B experiments and interpreting results to drive product and business decisions Ability to define new product metrics from complex, unstructured data Excellent SQL skills Fluency in Python and its application in data analysis is a nice to have, but not essential Knowledge of statistics (e.g. hypothesis testing, regressions) Strong communication skills, with the ability to work fluidly across technical and non-technical teams. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow). A bias for action and ownership-you're excited to build from scratch, own it end-to-end, and deliver value fast. What do you get for all your hard work? A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles. Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London, we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits: Company-wide performance reviews every 4 months Generous pay increases for high-performing team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer-matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Welcoming Everyone We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. Download the Test Flight App access for people in the UK & Europe: If you are an iOS user, please use this link to sign up to our TestFlight version of the app, so you can have a play around with the functionality and features: