Head of Data Operations

Relation Therapeutics

Location: London Relation Therapeutics is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays, and machine learning to drive disease understanding — from cause to cure. Our medicines are born from high-resolution biology, machine learning, and clinical insights. At the heart of our discovery engine is our Lab-in-the-Loop, which seamlessly integrates single-cell analysis, genomics, and machine learning. This powerful technology allows us to identify druggable targets and develop transformational medicines. Interdisciplinary collaboration. Immense impact. Led by experienced drug developers, computational scientists, and entrepreneurs with backgrounds in biotech, pharma, venture, and academic research, we are driven by a shared hunger to transform drug development — because the patient is waiting. The opportunity As the Head of Data Strategy, you will play a pivotal role in shaping and executing the company’s data strategy, ensuring that Relation can leverage the full value of its data assets. This is a unique opportunity to lead the charge in building and governing the data foundations that will fuel the next generation of drug discovery at Relation. * Develop, implement, and oversee a comprehensive data strategy that positions data as a critical and compounding asset for Relation's research and business initiatives. This will include every aspect of data management, governance and acquisition and will involve working closely with the VPs of Engineering and Data Science and the CTO. * Lead the acquisition, integration, and governance of high-quality datasets from diverse sources, including open-access platforms, biobanks, proprietary studies, and external partnerships. * Ensure the highest standards of data quality, security, and compliance with relevant regulatory frameworks. * Collaborate closely with teams across the organisation, including Data Science, Machine Learning, Computational Biology, Bioinformatics, and our Wet Lab teams, to ensure data is accessible, standardised, and optimised for scientific discovery and innovation. * Guide the creation of data systems that support scalable and efficient data operations. * Drive external relationships with academic consortia, data providers, and industry partners to continuously expand Relation’s data ecosystem. Your Responsibilities * Data Strategy: Define and execute Relation’s data strategy in partnership with key stakeholders, ensuring that Relation’s data is a compounding asset that supports all aspects of drug discovery, research and development. * Data Management: Create and maintain data catalogues, define data standards and ontologies, and ensure proper metadata and data lineage tracking. * Data infrastructure: Work closely with the VP Engineering to guide the development of a robust data infrastructure in a rapidly scaling TechBio * Collaboration: Work closely with interdisciplinary teams, such as machine learning engineers, bioinformaticians, and scientists, to ensure data is ready for use in research and drug discovery. * Data Acquisition: Procure and integrate external datasets (e.g. UK Biobank, public databases) and manage data partnerships to enrich Relation's data ecosystem. * Governance: Implement data governance policies that ensure responsible, secure, and compliant data usage, aligning with evolving regulatory requirements. * Quality Assurance: Lead data curation efforts, ensuring the quality and integrity of data assets across multiple domains including omics, imaging, and clinical data. * Team Leadership: Build and manage a high-performing data strategy, governance and acquisition team, fostering a culture of excellence and continuous improvement. Professionally, you have: * A graduate degree in Bioinformatics, Computer Science, Computational Biology, or a related field (PhD preferred). * Demonstrated success in leading data strategy, including planning and execution in a matrix environment * Extensive experience with data strategy, management and acquisition in the life sciences, preferably including working with large biobanks and public databases. (7 years + experience) * Familiarity with data management, storage and processing tools and cloud-based data management platforms * Ideally, fluency in writing functioning code for a variety of tasks (such as data pipelines), including the skilled use of modern coding agents. Basic knowledge of computer science concepts sufficient to understand important concepts including latency, throughput, bottlenecks, race conditions etc. * Experience of acquisition, curation, and quality assurance efforts in research or drug discovery or a similar regulated setting * Deep understanding of various data types and ontologies, including -omics, imaging, and clinical data. * Proven experience with data governance frameworks and ensuring compliance with data protection regulations. * Ability to lead cross-functional initiatives and manage stakeholder relationships across a wide range of scientific and technical disciplines. * Experience working with machine learning teams and an understanding of data needs for model development. * Experience with large-scale data integration efforts, biobanks like UK Biobank, or databases such as dbGaP. * Knowledge of FAIR data principles and experience implementing data governance strategies in compliance with industry standards. Personally, you are: * collaborative team player with a strong desire to drive impact. * an excellent communicator and are comfortable presenting complex data strategies to both technical and non-technical stakeholders. * detail-oriented, curious, and passionate about using data to drive scientific innovation. * Comfortable and thrive in fast-paced, dynamic environments * Driven by impact, motivated and curious * Humble and hungry to learn and have a strong sense of accountability * Passionate about making a difference in patients’ lives WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting!   RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

Fresha

The AI-powered OS for beauty, wellness and self-care About Fresha Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.   Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.   The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. We process millions of transactions and generate rich behavioural data across consumers and partners. Despite this, data science is still early at Fresha. That's the opportunity.   About the Role We're hiring a Head of Data Science to build DS into a core function at Fresha, not manage what already exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across the marketplace. You'll have a clear mandate, leadership buy-in, and a technically strong team already in place. Your job is to set the direction, grow the team, and make data science visible and indispensable to how Fresha makes decisions and builds products. This role is right for you if you've done this before - taken a small DS team at a scaling company and turned it into something the business can't operate without. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, this role will be based in our dog-friendly office 5 days per week in London: The Bower, 207-122, Old Street, London EC1V 9NR.

iwoca

HEAD OF DATA SCIENCE & AI Hybrid in London, United Kingdom We’re looking for a Head of Data Science & AI You'll lead iwoca's data science function – a group building probabilistic and statistical models that make real-time lending decisions. You'll also be a key part of how iwoca embeds AI across the wider business: setting the pace yourself, and raising capability beyond your direct team. The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences – it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product, and commercial teams. The role As Head of Data Science & AI, you'll shape how a technically sophisticated team works – and influence how the wider business adopts AI. Doing that well requires a deep understanding of the modelling work: where AI genuinely changes the work, where it speeds things up, and where a different approach is better. You'll judge what's actually possible with these tools – and challenge the assumptions when the rationale isn't clear. iwoca's data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real-time lending decisions across lending, product, operations, and strategy. The group has approximately 25 data scientists, split across a central team and smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. * AI enablement and adoption You'll set the standard for how AI is used across the group – establishing practices that make adoption safe and repeatable, and creating the conditions for a technically sophisticated group to advance together. * Strategic direction You'll influence where the group invests its resources – deciding what to model, where AI accelerates the work, and where a lighter approach is more effective. You'll shape commercial and product decisions by making analytical trade-offs legible to senior stakeholders, and work with team leads to plan and prioritise across multiple streams. * People and team You'll develop the people around you – raising capability across the group through clear standards, direct coaching, and a genuine investment in how data scientists grow. You'll spot where the gaps are and help close them. You'll also own hiring, shaping how the group assesses and develops talent as it grows. * Commercial opportunity and coordination You'll spot commercial opportunities across the business – where modelling or AI can change outcomes – and work with Engineering, Product, and Operations teams to act on them. You'll represent the group in discussions that shape lending, risk, and product decisions, explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential * High AI agency: You actively experiment with AI in your analytical and technical workflows. You use tools like Claude Code, Codex, or similar to build, automate, and accelerate substantive work. You have a clear view on how AI changes what a data science team does and a track record of raising capability across the people around you, not just your own output. * Transformation track record: You have led a meaningful shift in how an analytical or data science team works. You are comfortable navigating resistance, building adoption across different types of people, and making change persist beyond your direct involvement. * Technical background: You have a background in probability, statistics, or a related quantitative field, with hands-on experience building and overseeing probabilistic ML models on structured commercial or financial data. * Production experience: You have managed the full lifecycle of models in production – deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. * Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. * Strategic leadership: You have experience setting data science strategy, aligning work with commercial goals, and translating technical modelling for senior stakeholders so they can act on it. * People and team: You have experience managing a data science team, setting clear standards, and developing people – including having direct conversations about where the gap is and how to close it. Bonus: * Domain experience: You have worked in credit risk, lending, or customer lifetime value modelling. * Function scale: You have led a data science team of 20 or more people across multiple teams. * R&D and forecasting: You have experience shaping a modelling agenda, including probabilistic or long-term forecasting work. * Industry profile: You have represented a data science team externally – industry events, publications, or advisory roles. The salary We expect to pay from £140,000 to £200,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: * Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. * Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits * Flexible working hours. * Medical insurance from Vitality, including discounted gym membership. * A private GP service (separate from Vitality) for you, your partner, and your dependents. * 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. * A one-month, fully paid sabbatical after four years. * Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. * 3% Pension contributions on total earnings. * An employee equity incentive scheme. * Generous parental leave and a nursery tax benefit scheme to help you save money. * Electric car scheme and cycle to work scheme. * Two company retreats a year: we’ve been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: * A learning and development budget for everyone. * Company-wide talks with internal and external speakers. * Access to learning platforms like Treehouse. Useful links: * iwoca benefits & policies * Interview welcome pack