Principal Data Scientist

CoMind

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. THE ROLE: The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. RESPONSIBILITIES: * Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team * Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions * Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity * Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking * Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents * Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements * Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities * AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. SKILLS & EXPERIENCE: * 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems * Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data * Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation * Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device * Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority Nice to Have * Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology * Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies * Familiarity with FDA regulatory pathways for AI/ML-based medical devices BENEFITS: * Company equity plan so all employees share in the success of the company * Salary-sacrifice pension scheme * Private medical, dental and vision insurance (medical history disregarded) * Group life assurance at 4x annual income * Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals * Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter * Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later * Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks * YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores * Access to Udemy for upskilling and professional development.

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. #LI-PRIO ABOUT THE ROLE As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high-impact projects and programmes for our most important clients. You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class. This position focuses on deep individual contribution and technical excellence, influencing the broader data science community at Faculty. WHAT YOU'LL BE DOING: * Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. * Leading the development of shared resources, frameworks, and best practices adopted across teams and the company. * Contributing to the scoping and bid processes for large-scale, high-stakes projects, influencing client decisions with technical expertise. * Owning a portfolio of work within a specific sector, applying expert knowledge to deliver exceptional value to clients. * Leading and mentoring project teams and direct reports, ensuring the successful delivery of high-value and complex projects. * Acting as a thought leader, publishing papers, and presenting at industry and scientific conferences to amplify a distinctive AI vision for our clients WHO WE'RE LOOKING FOR: * You bring demonstrable technical ability, creativity and flexibility from your extensive experience (in academia , industry or both) as thought leader in this space * You’ll have prior experience working in or for financial services clients, with standout examples where you’ve led the delivery of distinctive applications that have driven commercial impact * You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models * You have advanced coding skills in Python and proven experience building and maintaining scalable codebases. * You enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill. * You are highly proficient in strategic problem-solving and communicating solutions to non-technical audiences, able to select appropriate solutions and balance innovation with practical implementation. THE INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Introduction to Business Unit Director (30 minutes) 3. Take Home Technical Assessment 4. Technical Interview (90 minutes) 5. Commercial & Principles Interview (90 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Marshmallow

We’re on a mission to make migration easy. We started building Marshmallow in 2017. Since then, we’ve grown from 3 to 700+ people, gained unicorn status, raised ~£140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans. But we’re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we’ll grow exponentially, not only by scaling our existing products, but also by building new ones. To achieve our goals we need incredibly ambitious, commercially driven people who never settle for ‘good enough’. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest. We’ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you. LONDON (HYBRID, 3 DAYS IN OFFICE) DATA SCIENCE AT MARSHMALLOW Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. WHAT YOU'LL BE DOING * Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering * Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation * Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production * Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation * Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling * Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders WHO YOU ARE * You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. * You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. * You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. * You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey. WHAT YOU'LL BRING * Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring * Hands-on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows * Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) * Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions * Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively with Product and Engineering to ensure high-quality outcomes PERKS OF THE JOB * Bonus scheme designed to reward high performance * Private medical insurance with Vitality, mental health support with Oliva * Personal learning budget and 2 dedicated L&D days a year * Monthly flexible benefits budget to spend as you choose * 25 days holiday plus bank holidays * 4 weeks Work From Anywhere per year We are able to offer visa sponsorship for this position. OUR PROCESS * Initial call with a member from our Talent Team (30 mins) * Past Experience interview with Hiring Manager (60 mins) * Systems Design & Technical interview with a couple of the team (90 mins) * Culture interview (60 mins) Diversity of thought We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.