Lead Data Scientist at Faculty | London

Join Phasecraft, the pioneering quantum algorithms company, where we are establishing the mathematical frameworks necessary for quantum computing applications that address pressing real-world challenges. Founded in 2019 by industry leaders Toby Cubitt, Ashley Montanaro, and John Morton, we have offices in London and Bristol, along with a recently opened location in Washington DC, driven by Steve Flammia. In 2023, we successfully secured $17 million in Series A funding from the prominent Silicon Valley deep tech venture capital firm, Playground Global.Our exceptional access to the leading quantum computers today, through collaborations with Google, IBM, Quantinuum, and QuEra, grants us unparalleled opportunities to develop foundational intellectual property, guide the evolution of next-generation quantum hardware, and expedite the commercialization of significant breakthroughs.We are seeking a dedicated Quantum Algorithms Scientist to enhance our team. The ideal candidate will possess experience in the theory and/or implementation of optimization algorithms tailored for gate-model quantum computers, classical optimization, or constraint satisfaction algorithms, or demonstrate notable potential in these domains. Initially, this role will concentrate on these specific areas, with the opportunity to expand into a diverse portfolio of research activities aligned with Phasecraft's broader interests. While a background in quantum computing is not strictly necessary, successful candidates will need to demonstrate their capacity to conceptualize and implement advanced algorithms focusing on optimization and constraint satisfaction.Key Responsibilities:Conduct theoretical and applied research and software development for immediate quantum computing applications, focusing initially on quantum algorithms and software for combinatorial optimization and constraint satisfaction challenges.Contribute to the authorship of publications, presentations, patents, and other outcomes derived from research.Collaborate within a compact team composed of full-time staff and affiliated PhD students.Engage with stakeholders on collaborations applying quantum computing to optimization issues.Participate in additional activities as required to foster the growth and success of Phasecraft.Essential Qualifications:Proficiency in one or more of the following areas:• Quantum information and/or computation theory• Theory and implementation of classical optimization or constraint satisfaction algorithms• Quantum algorithm design and implementation• Mathematical analysis of algorithmsDemonstrated success in independently managing research projects.An impressive publication record and deep expertise in the relevant field.Exceptional written and verbal communication abilities, capable of conveying research findings to both technical and non-technical audiences.Willingness to work across various aspects of quantum algorithms and related fields.

Phasecraft is a pioneering company in the realm of quantum algorithms, dedicated to laying the mathematical groundwork for quantum computing applications that tackle real-world challenges. Established in 2019 by visionaries Toby Cubitt, Ashley Montanaro, and John Morton, our headquarters are located in London and Bristol, UK. In 2023, we successfully completed a £13 million Series A funding round, spearheaded by the esteemed Silicon Valley deep tech venture capital firm, Playground Global.Our unparalleled access to the most advanced quantum computers today—thanks to strategic partnerships with industry leaders such as Google, IBM, and Rigetti—affords us unique opportunities to cultivate foundational intellectual property, guide the development of next-generation quantum hardware, and expedite the commercialization of significant breakthroughs.We are actively seeking a talented Quantum Algorithms Scientist to become an integral part of our dynamic team. The ideal candidate will possess extensive experience in the theory of algorithms for gate-model quantum computers or related fields in quantum computing theory, quantum information theory, or other relevant areas of quantum theory. You will play a vital role in advancing Phasecraft’s mission to develop quantum algorithms optimized for near-term quantum computers, covering topics such as algorithm optimization and design, quantum codes, resource analysis, error mitigation, and hardware benchmarking. This position offers the chance to expand your research portfolio across the diverse interests of Phasecraft.Key Responsibilities: Conduct theoretical and/or applied research on near-term quantum computing algorithms, applications, and/or enabling theoretical technologies. Contribute to the authorship of publications, presentations, patent applications, and other outputs resulting from research endeavors. Collaborate effectively within a small team comprising full-time staff and affiliated PhD students. Engage in additional activities as needed to foster the growth and success of Phasecraft.

Join Phasecraft, a pioneering company in the field of quantum algorithms, where we are laying the groundwork for quantum computing applications that address real-world challenges. Established in 2019 by Toby Cubitt, Ashley Montanaro, and John Morton, we operate out of London and Bristol, UK. In 2023, we successfully raised £13 million in a Series A funding round led by Playground Global, a prominent Silicon Valley deep tech venture capital firm, and in 2024, we expanded our presence by opening an office in Washington DC, under the leadership of Steve Flammia.Our unique partnerships with leading quantum computing platforms such as Google, IBM, Rigetti, and QuEra grant us unparalleled access to state-of-the-art quantum computers. This empowers us to create foundational intellectual property, influence the evolution of next-generation quantum hardware, and expedite the commercialization of significant breakthroughs.As we continue to evolve and delve into new research domains, we are thrilled to announce an exciting opportunity for a Quantum Algorithms Engineer. The ideal candidate will possess substantial experience in the implementation of sophisticated quantum algorithms or strong evidence showcasing their potential in this area. While a background in quantum computing is not strictly necessary, a demonstrated passion for the field through formal education or independent study is essential. Job Responsibilities Develop and assess advanced classical and/or quantum algorithms based on technical literature and research conducted by our team of Quantum Algorithms Scientists. Collaborate effectively within a small team comprising full-time staff and affiliated PhD students. Engage in additional tasks as needed to foster the growth and success of Phasecraft.

Join Phasecraft, a pioneering company in quantum algorithms dedicated to establishing the mathematical foundations for innovative quantum computing applications that tackle real-world challenges. Founded in 2019 by Toby Cubitt, Ashley Montanaro, and John Morton, we operate out of London and Bristol in the UK, with a new office in Washington DC opened in 2024 under the leadership of Steve Flammia. In 2025, we successfully raised $34 million in our Series B funding round, co-led by Plural, Playground Global, and Novo Holdings’ Quantum Fund, marking its first direct investment in quantum software.With unparalleled access to leading quantum computers through collaborations with industry giants like Google, IBM, Quantinuum, and QuEra, we are uniquely positioned to develop foundational intellectual property, guide the evolution of next-generation quantum hardware, and fast-track the commercialization of groundbreaking advancements.We are currently in search of a skilled Project Manager to coordinate intricate, multidisciplinary projects spanning engineering and scientific research. This vital role will involve planning, executing, and optimizing our technical programs, ensuring seamless collaboration among cross-functional teams and propelling projects from concept to completion.The ideal candidate will possess a solid grasp of R&D workflows, practical experience in applying Agile methodologies in both software and non-software contexts, and the capability to instill structure and predictability amidst the uncertainties of scientific exploration.Your contributions will be instrumental in scaling our organization by providing clarity and visibility to complex scientific and developmental tasks while empowering teams to operate iteratively and efficiently.

About WintermuteWintermute is a pioneering technology company and a leading player in the algorithmic trading sector, focusing on digital assets. We are dedicated to providing liquidity across a vast array of cryptocurrency exchanges and trading platforms. Additionally, we offer comprehensive OTC trading solutions, supporting both high-profile blockchain initiatives and traditional financial institutions transitioning into the crypto space. Our Wintermute Ventures division also invests in promising early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated the complexities of industry cycles. Our culture merges the high-frequency trading standards of traditional markets with the innovative and entrepreneurial spirit typical of technology startups. We are firm believers in the transformative potential of blockchain, and we take a long-term approach to the digital asset market, positioning ourselves as leaders in fostering a compliant and innovative trading environment. For more details, you can read more here.Why Join Wintermute?We are on the lookout for an Algorithmic Trader with robust coding abilities (Python) and a keen interest in high-frequency trading, liquidity provision, and cryptocurrency markets. From day one, you will manage your own “desk” and have the chance to create and refine your own trading algorithms and strategies. You will receive invaluable mentorship from seasoned traders and developers, including our founders and management team. Expect a high degree of autonomy and responsibility from the outset, allowing you to make a significant impact without the hindrance of legacy systems or bureaucratic red tape.Your ResponsibilitiesFollowing a brief training period, you will focus on enhancing existing trading strategies, introducing new trading products, and advancing the technology behind our trading systems. You will analyze extensive trading and transaction data to extract insights, prioritize them, and devise solutions based on your findings. You will have the opportunity to influence P&L positively and will be encouraged to experiment with innovative ideas and strategies. We will provide more technical specifics during the interview process.Please note: We seek individuals with strong quantitative and coding skills; however, this is primarily a business/trading role rather than a research position.

Who are we?At Ki Insurance, we’re at the forefront of insuring groundbreaking ventures—think space shuttles, worldwide tours, renewable energy projects, and even the legs of professional athletes.Our mission is clear: to digitally disrupt and transform a 335-year-old industry. Collaborating with tech giants like Google and leading academic institutions such as UCL, we’ve developed a cutting-edge platform that leverages algorithms, machine learning, and large language models to provide insurance brokers with quotes in mere seconds, instead of days.Proudly recognized as the world’s largest algorithmic insurance provider, Ki Insurance is the fastest-growing syndicate within the Lloyd's of London market and the first to achieve a remarkable $100 million profit within just three years.Our diverse teams come from various backgrounds and work collaboratively in an agile, cross-functional environment, all with the shared goal of creating the best possible experience for our customers. Ki has ambitious goals and seeks exceptional minds willing to challenge the status quo and explore new frontiers.Where do you fit in?We are in search of a Senior Algorithm Engineer to join our Algorithmic Underwriting team. In this pivotal role, you will bridge the gap between underwriting and algorithm development, creating machine learning-driven products that span over 25 business classes, including Commercial Properties, Oil Rigs, and Event Contingency insurance.You will enhance our capability to assess individual risks effectively while simultaneously building a profitable and stable portfolio, all within a minute. Your responsibilities will include large-scale geospatial analysis to manage exposure to natural disasters, as well as pioneering low-data machine learning strategies for niche markets with limited claims data, such as Terrorism insurance. This role sits at the intersection of advanced technology and specialized insurance, allowing you to contribute to both fields.Our multi-disciplinary team prides itself on being commercially driven, uniting deep expertise in specialty insurance with scalable machine learning development. We focus on delivering impactful features through a highly iterative and analytical approach, dedicating time to research and development both internally and in collaboration with academic institutions.We prioritize the commercial outcomes of our algorithms, and value well-tested and maintainable code. Our algorithms are developed in Python, and our infrastructure is fully cloud-native, managed as code.

Ki Insurance brings together technology and specialty insurance from its London base. The company’s portfolio spans diverse risks, from space missions and global tours to renewable energy projects and sports professionals. Ki collaborates with organizations such as Google and UCL to develop a platform that uses algorithms, machine learning, and large language models to deliver rapid insurance quotes to brokers. Recognized as the largest algorithmic insurance carrier worldwide and the fastest-growing syndicate in the Lloyd's of London market, Ki achieved $100 million in profit within three years. Teams work together in an agile environment, drawing on expertise from multiple fields to deliver new solutions and influence industry direction. Role overview The Algorithm Engineering team is searching for engineers interested in shaping insurance through technology. This role connects underwriting with algorithm development, building machine learning products that support more than 25 business classes, including Commercial Properties, Oil Rigs, and Event Contingency insurance. Algorithm Engineers at Ki help assess risks quickly and accurately, enabling the creation of a profitable and stable portfolio in under a minute. Projects range from large-scale geospatial analysis and managing exposure to natural disasters, to developing machine learning techniques for areas with limited data, such as Terrorism insurance. The work combines technology and specialty insurance, always with a focus on commercial results. How the team works Collaboration across disciplines, blending specialty insurance knowledge with scalable machine learning product development Focus on delivering high-impact features through an iterative and analytical approach Dedicated time for research and development, both internally and with academic partners Commitment to commercial outcomes and maintainable, well-tested code Algorithms primarily developed in Python Fully cloud-native infrastructure, managed as code Location This role is based in London, England, United Kingdom.

We are seeking a skilled Technical Web Optimization Analyst to join our team in London. This role is pivotal in enhancing our clients' online presence through meticulous web optimization strategies.Key Responsibilities:Conduct thorough technical audits of client products to identify and address key optimization issues.Develop detailed implementation plans with actionable steps to resolve identified issues.Collaborate with the client's engineering team to implement solutions effectively.Monitor and analyze results from web optimization efforts, translating insights into further actionable strategies.This position primarily emphasizes website optimization, requiring a candidate with a solid foundation in web optimization best practices.

About WintermuteWintermute Trading is a pioneering technology firm and a leader in algorithmic trading, focusing on digital assets. We excel in providing liquidity across numerous cryptocurrency exchanges and trading platforms, offering a diverse array of OTC trading solutions. Additionally, we support prominent blockchain initiatives and assist traditional financial institutions in their transition to the crypto space. Our Wintermute Ventures division actively invests in promising early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated the fluctuations of the industry. Our culture merges the technological exigencies of high-frequency trading firms with the innovative spirit typically found in startups. We are staunch believers in the transformative potential of blockchain technology and maintain a long-term vision for the digital asset market, positioning ourselves as leaders in developing an innovative and compliant market. You can learn more about us here.Join Our DeFi TeamWe are continually seeking talented individuals to enhance our DeFi team. Whether you are a developer, trader, or a recent graduate, we would love to hear from you. Your role will be pivotal in building and maintaining the systems that drive our on-chain trading strategies. You will be responsible for both the design and implementation of trading strategies, as well as developing the core microservices and backend infrastructure that support our trading engine.Our trading operations are heavily technology-driven, and our traders act as programmatic problem solvers. Like many innovators in this field, this position requires versatility, as you will be contributing to various codebases in multiple programming languages while exploring the frontiers of design within the ecosystem.We take pride in fostering a cohesive and collaborative team environment, where you will work closely with experienced traders and developers who will mentor you on enhancing our systems. Team members are encouraged to cultivate their own narratives, challenge one another, and explore new domains together.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

At Scarlet, we strive to accelerate the transition towards universally accessible healthcare. Authorized by governments, we evaluate and grant market access to advanced medical AI technologies. Our innovative approach ensures that cutting-edge technologies can reach patients safely and swiftly.Scarlet stands as the foremost authority on AI medical devices, serving impactful clients who are pioneering the future of medical AI. We are honored to partner with some of the world's most ambitious companies in this space. Join our team, which is experiencing remarkable growth, driven by an ever-increasing flow of data and revenue.Help us bring the next generation of healthcare to those who need it most.Role Overview:The Devices function at Scarlet comprises a dynamic team of clinicians, AI specialists, and software engineers, collaboratively working to assess and certify the most innovative and impactful medical device software.We take pride in delivering rapid and effective assessments, facilitating market access, new device updates, and ongoing monitoring of our expanding portfolio of medical devices.As we scale our operations and increase the number of certified medical devices, we are seeking expertise in clinical AI, real-world evidence, and clinical research to support all stages of the customer journey.You will be part of a team of clinical evaluation experts, conducting prompt and precise device assessments while providing insight and expertise to both internal teams and external stakeholders.Your Responsibilities:Become authorized to evaluate the clinical assessment processes of the world's most innovative medical devices, with a focus on clinical studies and evidence.Collaborate with a multidisciplinary team on assessments of technical documentation.Generate content on topics such as clinical AI, biostatistics, clinical research methodologies, and real-world evidence to educate teammates, clients, and prospects.Represent Scarlet at events and conferences, deploying your expertise outward.Monitor and act on regulatory insights from the latest research, standards, and guidelines.Support the Sales and Customer Experience teams by providing regulatory and scientific insights regarding prospects and clients.Collaborate with our Product, Engineering, Design, and Applied ML teams to enhance our systems.

About WintermuteWintermute is a prominent technology unicorn and one of the leading algorithmic trading firms specializing in digital assets. We excel in providing liquidity across a wide range of cryptocurrency exchanges and trading platforms, offer diverse OTC trading solutions, and support significant blockchain projects and traditional financial institutions transitioning into the crypto space. Additionally, Wintermute Ventures actively invests in early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated through various industry cycles. We blend the rigorous technological standards of high-frequency trading firms with the innovative spirit characteristic of tech startups. At Wintermute, we are committed to harnessing the innovative potential of blockchain technology and hold a long-term vision for the digital asset market, positioning ourselves as leaders in establishing a creative and compliant marketplace. Discover more about us here.Join Our DeFi TeamWe are seeking an enthusiastic and inquisitive student to join our DeFi team for a 6-month internship. In this role, you will research on-chain protocols and conduct data-driven experiments that contribute to our understanding of decentralized finance.Our trading philosophy is fundamentally technological—our traders are analytical and programmatic problem solvers who thrive on innovation. In true DeFi fashion, this position offers you the chance to take on various roles, working across multiple codebases and languages to explore the ecosystem's design frontiers.We pride ourselves on being a close-knit, collaborative team that values open communication and creative exploration. You will collaborate closely with seasoned traders and developers, receiving mentorship while being encouraged to express your perspectives, challenge ideas, and explore new avenues of inquiry collectively.

Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.

About Man GroupMan Group is a leading global alternative investment management firm dedicated to delivering superior returns for discerning clients through our Systematic, Discretionary, and Solutions offerings. Leveraging exceptional talent and cutting-edge technology, our investment strategies—both single and multi-manager—are grounded in extensive research and span public and private markets across all major asset classes, with a notable emphasis on alternative investments. We prioritize a partnership approach, forging deep connections with clients to create customized solutions that address their investment objectives and those of the millions of retirees and savers they represent.Based in London, we manage assets totaling $227.6 billion* and have a presence in multiple global offices. Man Group plc is publicly traded on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. More information is available at www.man.com.* As of 31 December 2025Algo Research Team:The Algo Research team is tasked with conducting alpha research across a diverse range of time frames—from high-frequency to daily strategies—designing monetization and execution algorithms, and performing market impact modeling across all major asset classes, including Cash Equities, Futures, FX, and Options. We collaborate closely with various systematic research teams within Man Group to maximize the realized profit and loss of our strategies. Algo Research is a critical area of focus for Man Group.We are seeking a Quantitative Researcher primarily focused on Futures, with responsibilities including:Developing high-quality intraday predictive alpha signals in futures with time scales ranging from sub-seconds to hours, utilizing order book and alternative datasets.Implementing machine learning techniques in alpha research.Conducting detailed market impact modeling.Addressing optimal execution optimization challenges.Identifying the most lucrative profit and loss opportunities.Collaborating closely with researchers across the Man Systematic team.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Role Overview The Base Optimization Specialist at Airtable focuses on improving how users interact with the platform. This role centers on finding ways to help customers get more value from Airtable’s features and workflows. What You Will Do Analyze user activity and data to spot areas where Airtable bases can work more efficiently Recommend and implement changes that help customers make the most of Airtable’s tools Work with attention to detail, always looking for ways to solve problems and improve the user experience Location This position is based in London, United Kingdom.

CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)

Join Us in Empowering the UK’s Small Businesses At Funding Circle, we believe that small businesses are the backbone of the economy. Our innovative platform accelerates access to funding, allowing businesses to secure the capital they need in just minutes.We blend the agility of a fintech start-up with the security of a public company, empowering our team members—affectionately known as Circlers—to take ownership and drive impactful outcomes.Our high-performing culture is built on collaboration and support. We challenge one another, uplift our peers, and thrive as a united force to achieve meaningful results.Real Impact: Last year, the companies on our platform contributed £7.2bn to the UK economy Come join a mission that truly matters![View Our Impact Report] | [Check Our Trustpilot]The Role London (Hybrid) | 3 Days in the Office | Competitive Salary + BenefitsWe are seeking a Senior (Lead) Data Scientist to join our team as we innovate and refine our next generation of models. Your contributions will be crucial in developing, implementing, and monitoring these models to create substantial value for the business.As a member of the Decision Science team, you will engineer advanced statistical and machine learning models while collaborating with data engineers, analysts, and business stakeholders. You will enhance existing models and have the opportunity to create entirely new models as we expand our borrower products.Develop innovative statistical and machine learning models for commercial lending productsMaintain a strong focus on delivering tangible business outcomes and proactively challenge established normsProvide technical mentorship and guidance to junior team members throughout the model development processAdvise the team on best practices for risk managementOversee the experimentation framework for optimizing models

Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.