Senior Data Scientist at Faculty | London

At CoMind, we are pioneering a revolutionary non-invasive neuromonitoring technology, heralding a new era in clinical brain monitoring. By joining our team, you will contribute to the development of cutting-edge technologies aimed at enhancing the diagnosis and treatment of brain disorders, ultimately improving and saving patients' lives globally.The Role:As a Senior Clinical Data Scientist at CoMind, you will collaborate with a multidisciplinary team at the intersection of neurophysiology, optics, machine learning, and signal processing.In this role, you will serve as a technical leader, driving the investigation and analysis of complex multidimensional time-series datasets collected from our neuromonitoring technologies, in both clinical trial and experimental contexts. You will be pivotal in harnessing these innovative physiological and optical signals to derive actionable insights that will inform product development and clinical decision-making. By working closely with clinicians, neurophysiologists, physicists, and engineers, you will refine algorithms to extract meaningful metrics related to brain function, blood flow, and autoregulation, while validating signal quality in real-world applications.At CoMind, all team members are expected to work in our new Kings Cross offices at least 4 days a week, with an additional flexible work-from-home day.Responsibilities:Lead technical oversight of clinical/neurophysiological data analysis projects.Own and manage workstreams by defining project scope, deliverables, timelines, and ensuring alignment with company objectives.Conduct exploratory data analyses on intricate time-series datasets from clinical trials, internal studies, and external databases.Develop, prototype, and implement signal processing and machine learning models to analyze physiological signals such as cerebral blood flow and autoregulation, deriving actionable clinical insights.Provide guidance and support to team members within your workstreams, ensuring quality output and adherence to deadlines.Collaborate with domain experts to translate clinical requirements into effective data analysis workflows.Write high-quality, well-tested Python code that adheres to industry standards for medical-grade software, facilitating FDA regulatory compliance.Produce clear, insightful documentation and white papers to communicate findings and methodologies.

At CoMind, we are pioneering groundbreaking non-invasive neuromonitoring technologies that promise to revolutionize clinical brain monitoring. By joining our team, you will contribute to the development of state-of-the-art solutions that enhance the diagnosis and treatment of brain disorders, ultimately improving and saving lives worldwide.The Role:The R&D division at CoMind encompasses experimental and translational optics, data science, machine learning, and clinical research, operating at the confluence of cutting-edge technology, applied science, and medical innovation.As the Senior Program Manager for R&D, you will be integral in guaranteeing the effectiveness, coherence, and operational excellence of our research and development initiatives. Reporting directly to the Chief Scientific Officer, you will serve as a key operational partner, collaborating closely with R&D managers and senior stakeholders throughout the organization.This senior, hands-on position emphasizes portfolio-level program leadership rather than focusing on individual project delivery. You will be tasked with translating scientific strategies into well-structured research programs, ensuring clear objectives, timelines, deliverables, and informed decision-making, all while preserving the exploratory spirit crucial for high-quality research.As CoMind enters a rapid phase of scientific and clinical scale-up, your role will be central to ensuring our R&D team operates with clarity, discipline, and the highest standards without stifling scientific creativity or rigor.Please note that this role requires in-office presence 5 days per week.Responsibilities:Lead the planning, coordination, and execution oversight of CoMind’s R&D program portfolio, encompassing optics, data science/machine learning, and clinical research support.Collaborate closely with the Chief Scientific Officer to translate scientific strategies and priorities into coherent, actionable research programs with defined milestones, dependencies, and success criteria.Function as a senior operational partner and proxy to the CSO, representing R&D in internal forums and assisting in the preparation for executive and external-facing meetings.Empower R&D managers by providing the necessary structure, tools, and processes to enhance planning, prioritization, and execution across teams.Establish and maintain effective research...

Join our dynamic team at comind as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and data analysis to develop innovative solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize algorithms that enhance our products and services.

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.

Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.

Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.

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.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI solutions. Explore our real-world impact here.We prioritize substance over hype. Our commitment lies in innovating, developing, and implementing responsible AI that genuinely makes a difference. Our expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business grows rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing the power of AI and realizing its most impactful applications.About the TeamThe Defence team is dedicated to creating and integrating human-centered AI solutions that enhance national security. We work closely with our clients to deliver ethical, reliable, and advanced AI solutions in critical situations, ensuring a balance of global power crucial for our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work onsite with clients 2 to 4 days a week, which may involve travel across the UK. When not on client sites, you can choose to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will spearhead high-impact AI initiatives and guide the technical direction of customized solutions. This position demands both hands-on technical proficiency and strong leadership skills. You will establish data science methodologies, design resilient software architectures, mentor junior team members, and ensure robust project delivery while fostering deep client relationships and reinforcing our standing as a leader in practical, impactful AI.Your Responsibilities Include:Mapping the end-to-end data science approach...

About LendableLendable is dedicated to revolutionizing the way individuals access credit and save money. As one of the fastest-growing fintech companies in the UK, we have quickly established ourselves as a leader in the industry.Recognized as a unicorn with a talented team of over 700 professionals.Consistently ranked among the fastest-growing technology companies in the UK.Achieved profitability since 2017.Supported by top investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting a 4.9 rating across tens of thousands of reviews on Trustpilot.We have revamped the Big Three consumer finance products: loans, credit cards, and car finance. Our mission is to expedite the process, providing our customers with funds in minutes rather than days.As we continue to expand, we are targeting the two largest Western markets (UK and US) where traditional banks still rely on outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant projects from day one, making impactful decisions that steer the direction and success of Lendable.Collaborate with exceptional colleagues in small teams, working together to creatively solve problems and innovate beyond the status quo.Develop cutting-edge technology in-house, leveraging data sources, machine learning, and AI to automate complex tasks.About the RoleWe are in search of a seasoned Senior Product Data Scientist to spearhead product analytics for our dynamic multi-product app. In this influential position, you will uncover insights that drive the enhancement of our Zable app, impacting over 1 million users on both iOS and Android. Your contributions will significantly inform product strategy and elevate the core user experience.

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!

Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.

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)

About LendableLendable is dedicated to revolutionizing technology that empowers individuals to access credit and save money. We are rapidly establishing ourselves as one of the foremost fintech companies globally, achieving remarkable milestones:Recognized as one of the UK's newest unicorns with a vibrant team of over 700 innovators.Ranked among the fastest-growing tech enterprises in the UK.Profitable since 2017.Supported by esteemed investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting a 4.9-star rating across thousands of reviews on Trustpilot.To date, we have redefined the Big Three consumer finance products: loans, credit cards, and car finance. Our innovative approach allows us to deliver funds to our customers in minutes rather than days.As we continue to expand, we are targeting the two largest Western markets (UK and US), which hold trillions of dollars in financial products managed by legacy banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of a diverse range of responsibilities, making impactful decisions that shape the future of Lendable from day one.Collaborate in small teams of exceptional talent, consistently finding smarter solutions to complex challenges.Develop cutting-edge technology in-house, leveraging new data sources, machine learning, and AI to streamline processes.About the RoleWe are thrilled to announce an opening for a Senior Data Scientist to join our team! This role is ideal for individuals with a strong background in building predictive models, particularly in credit, lending, or related financial services sectors. As a leader in real rate risk-based pricing, Lendable provides consumers with unparalleled transparency and assurance at the application stage. Data Science is central to our unique selling proposition, as we develop credit risk models to underwrite loan and credit card offerings.You will have the opportunity to work with the latest machine learning techniques and access a wealth of rich data resources to drive our analytics efforts forward.

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 GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

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.