Trabajos data scientist en Reino Unido

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Graduate Data ScientistLondon - 4 days a weekThe Company They are a modern, data-driven insurance provider focused on delivering flexible, tailored policies to customers. The business has expanded its product offering and built strong commercial partnerships, driving rapid growth. With around 100 employees, they are scaling quickly and investing heavily in advanced analytics and modelling. The culture is collaborative, fast-paced, and centred on innovation.The Role As a Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. • Develop predictive models across pricing, risk, and customer acquisition, • Build clustering and segmentation models to support strategic decision-making, • Analyse large and complex datasets to uncover actionable insights, • Collaborate with analysts and engineers to deploy and productionise models, • Contribute to a greenfield modelling environment and help shape best practices, • Take ownership of projects with visibility across the wider businessYour Skills and Experience, • Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science, or similar, • Solid programming skills, ideally in Python, • Understanding of statistical modelling and machine learning fundamentals, • Hands-on experience through internships, placements, or personal projects, • Demonstrated curiosity and initiative, such as side projects or GitHub work, • Clear communication skills and the ability to collaborate with cross-functional teams, • Motivated, proactive, and keen to take ownership early in your careerWhat They Offer, • Hybrid working with a strong in-office culture, • Opportunity to work on high-impact, business-critical models, • Fast career progression as the team continues to grow, • Work abroad flexibility for short periods each year, • Supportive environment with strong learning and development opportunitiesHow to Apply If you are a graduate or early-career data scientist looking to make an impact in a high-growth environment, please apply with your CV.

Are you looking to benefit from a new career in Web Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 - HTML and CSS Online Training The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials, • CSS Essentials, • Tailwind The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 - Online Training The second step includes a selection of more advanced courses to get you up to speed. • React-js, • JavaScript JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar., • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship., • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products • Conduct research and identify AI / ML algorithms and methods to solve specific business problems, • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development • Deploy solutions as production-grade microservices in collaboration with engineering and DevOps teams • Contribute to common data science platforms and shared data assets, • Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI / ML applications and data-driven solutions, • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning • Understanding of computer science fundamentals, computational complexity, and algorithm design, • Ability to engineer and deploy well-architected software packages, • Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level • Experience mentoring junior team members Preferred Qualifications: • Deep expertise in engineering agentic AI systems, • Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data, • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage, • Ability to prototype proof-of-concept web applications with familiarity across the full stack, • Expert usage of AI coding tools and workflows

Senior AI Engineer (LLMs, RAG & Agentic Systems) | £75,000 - £90,000 | London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management* Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy, combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing • Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value, • Design, develop and deploy advanced analytics, machine learning models, and data products, • Lead and contribute to high-impact data science projects across the organisation, • Translate complex analysis into clear, actionable insights and recommendations, • Work closely with data engineers to ensure robust, scalable data pipelines and solutions, • Provide technical leadership, setting standards and coaching other data scientists, • Drive innovation and champion the use of AI and advanced analytics, • Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: • Python and advanced statistical tools, • Machine Learning and AI frameworks, • Cloud-based data platforms (e.g. Azure ecosystems), • Data visualisation and reporting tools, • Data engineering and transformation pipelinesWhat We're Looking ForEssential:, • Extensive experience designing and delivering data science and AI solutions in real-world environments, • Strong expertise in statistical analysis, machine learning, and advanced analytics techniques, • Proven ability to write and optimise complex code, • Experience working closely with data engineers and multidisciplinary teams, • Demonstrable contribution to building data science capability and best practice, • Ability to communicate complex findings clearly to both technical and non-technical audiencesDesirable:, • Experience working in agile, iterative delivery environments, • Understanding of user research and user needs in product development What Makes This Role Stand Out, • Opportunity to lead and shape AI and data science strategy, • Combination of hands-on delivery and technical leadership, • Focus on delivering real-world impact through data, • Work across a variety of complex, high-value problem spacesKey Skills, • Advanced statistical analysis and modelling, • Data engineering collaboration and data lifecycle understanding, • Storytelling with data and visualisation, • Data ethics, privacy, and governance awareness, • Stakeholder engagement and influencing, • Product thinking and deliveryWhat You'll Deliver, • High-quality AI models and analytical solutions, • Insightful dashboards, reports, and visualisations, • Scalable and reusable data science products, • Established standards, practices, and capability improvements, • Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Contract Job alert** Seeking 2x Data Scientist 6 months+ on-going contract - 3 days on site near Heathrow - Inside IR35 Please note that UK-based candidates only - 5 years of UK residency and, ideally, a British citizen is required. 1x Data Scientist (Supply Chain)Must have -A deep knowledge of supply chain models and analytics, to help build the right models with the right science behind them. Including: o Understanding of how to handle/model slow moving partso Multi-echelon inventoryo How to balance cost and service levels (fill rates and cycle service levels)o Developing analytical solutions using the core packages for data science, optimisation and simulation.o Creating data pipelines (even though we will have a data engineer) and to get these into production.o Knowledge of the software engineering techniques to get the solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert in applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

SC Cleared Data Scientist - Contract Canary Wharf (Hybrid - 1 day per week onsite)£650-£750 per day (Inside IR35)Contract until September Morgan Hunt are working with a high-profile public sector organisation who require an SC Cleared Data Scientist to support a key programme of work through to September. This is an excellent opportunity to contribute to a data-driven transformation programme within a secure environment, working alongside experienced data, engineering and policy teams. The Role You will play a key role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: • Developing and deploying predictive models and statistical analysis, • Working with large, complex datasets to identify trends and insights, • Collaborating with data engineers and stakeholders to shape data solutions, • Supporting decision-making through clear visualisation and communication of findings, • Ensuring work aligns with security and governance requirementsKey Requirements, • Active SC Clearance (essential), • Proven experience as a Data Scientist in complex or regulated environments, • Strong skills in Python (or similar) and data science libraries, • Experience with machine learning, statistical modelling and data analysis, • Ability to communicate technical findings to non-technical stakeholders, • Experience in public sector or government environments is highly desirableWhat's on Offer, • £650-£750 per day (inside IR35), • Hybrid working (1 day per week onsite) Canary Wharf, • Opportunity to work on a high-impact, nationally significant programme Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Trainee Data Analyst – No Experience Needed Build a future-proof career in Data & AI – starting today. Artificial Intelligence runs on data — and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst. Most candidates secure their first role within 1-3 months of qualifying — often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000–£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: • Junior Data Analyst – £30,000, • Data Analyst – £50,000, • Business Analyst – £60,000, • Data Scientist – £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 – Data Administration & Core Tools Build essential, job-ready skills with practical training in: • Microsoft Excel (to expert level), • SQL – Extracting and querying data from databases, • Python 3 – One of the most widely used languages in data analysis, • Tableau – Creating dashboards and data visualisations Study time: Approximately 30–60 hours Assessment: Course completion (no formal exam) You’ll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 – CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: • Data mining, • Data manipulation, • Data visualisation, • Reporting and interpretation Study time: ~30 hours Assessment: 1-hour professional exam You’ll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 – Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together — and many professionals move between both roles. You’ll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: ~15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 – Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You’ll receive: • Full CV review tailored to your new qualifications, • Job application support, • Mock interviews, • Ongoing career guidance, • Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying — often sooner in major cities. Ready to Start? If you’re analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we’ll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Applied AI Scientist Location: London We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing • Designing, building and deploying AI/ML solutions end-to-end, • Working closely with users to translate real-world problems into technical solutions, • Developing models using production-grade Python, • Deploying AI solutions in secure, offline / air-gapped environments, • Working with GPU hardware for training and inference, • Optimising performance, scalability and system resilience, • Influencing technical direction through delivery and expertise, • Sharing knowledge and supporting continuous learning across the teamWhat we're looking for Essential: • Strong experience as an Applied AI Scientist / Data Scientist, • Excellent Python engineering skills (production-level), • Experience building and deploying AI solutions without reliance on cloud-managed services, • Solid understanding of modern AI/ML techniques, • Experience with GPU-based model training/inference, • Ability to work independently and own delivery end-to-end, • Strong problem-solving skills and stakeholder engagement Nice to have: • Experience in secure or air-gapped environments, • Experience with edge or constrained systems, • Background delivering AI in real-world operational environments, • Ability to influence technical decisions without formal authorityWhy join?, • Work on complex, real-world AI challenges, • High-trust, collaborative environment focused on impact, • Opportunity to shape solutions in cutting-edge, constrained environments If you're a hands-on AI engineer who thrives on solving real problems and delivering impact, apply now. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

AI Engineer • Location: Flexible (UK), • Reporting to the Squad leader, • Salary: £80k–£100k The company is a global hospitality software leader with its award-winning SaaS platform. Recognised in the UK’s Top 35 AI Companies, and a leader in hospitality tech — it has built a reputation for innovation, excellence, and a relentless drive to transform the experience ecosystem. As we enter a new era of AI-driven product development, we are seeking a hands-on, visionary Data Scientist to help shape the future of our platform and accelerate our transformation. The Opportunity • You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models., • Your work will be project-driven, and highly visible — with the unique satisfaction of seeing your innovations deployed instantly to tens of thousands of clients worldwide., • This is a role for someone who wants to build, not just advise. Someone who wants to lead by example, not from the sidelines. Someone who wants to shape the future of a global SaaS platform. What You will Bring Core Expertise • Proven experience delivering AI-prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate:, • Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows., • or hands-on experience building and deploying ML or Deep Learning pricing/ analytical models., • You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini, Sonnet., • You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume third party data and features in order to quickly improve our market delivery., • You will be expected to provide assistance and advice related to the deployment of AI based projects., • Ability to influence/inspire other engineers and help shape product design and release processes through AI-driven skills. Who You Are • You have learned from the best — and now you want the freedom to drive meaningful, practical change., • You lead by doing sleeves rolled up, hands on the keyboard, setting the pace for others., • You value theory, but you prioritise practical execution and measurable outcomes., • You are energised by seeing your work impact 30,000+ organisations globally, not just internal stakeholders., • You are resilient: legacy stacks (MS-SQL, C#, JavaScript, ongoing React migration) do not scare you — they motivate you., • You are excited to join the core platform Squad’s, long-standing mission to standardise language, data structures, UX and UI navigation standards and you can bring structure, clarity, and discipline to projects., • You thrive in environments where excellence matters more than ego, and where the team is united by a desire to win. Work Style & Culture This role is for someone who loves solving puzzles, building solutions, and pushing boundaries. It is not a lifestyle job — it is a mission-driven one. That said, the company offers: • Flexible working hours, • Flexible working locations (most engineers work from home), • A friendly, bright, ambitious team, • A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software in the world.

Data Scientist Location: London We're looking for a Data Scientist with circa 2-3 years' experience to join a growing data science team. This is a hands-on role where you'll apply your skills to real-world problems, working alongside experienced practitioners and contributing to meaningful, production-focused work. What you'll be doing • Designing and delivering data science solutions to solve business problems, • Applying statistical and analytical techniques to explore data and test hypotheses, • Writing and maintaining Python code for data processing, analysis and modelling, • Working with real-world datasets (cleaning, validation and exploration), • Contributing to data pipelines and supporting data engineering tasks, • Collaborating with senior data scientists and engineers across multiple projects, • Communicating insights clearly to technical and non-technical stakeholders, • Supporting responsible, ethical and compliant use of dataWhat we're looking for Essential: • ~2-3 years' experience in Data Science or a similar analytical role, • Strong Python skills and experience working in shared codebases, • Experience with data science / ML frameworks, • Solid understanding of data preparation, analysis and modelling, • Ability to translate data insights into practical outcomes, • Strong communication and collaboration skills, • Curious mindset with a willingness to learn and challenge assumptions Nice to have: • Experience with Docker / containerised environments, • Understanding of data engineering workflows, • Experience working in product or engineering-led teamsWhy join?, • Work on real, impactful data problems (not just experimentation), • Learn from experienced data scientists in a collaborative environment, • Exposure to varied projects and modern data practices. If you're an early-career Data Scientist looking to develop your skills on meaningful work, apply now. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Lead Data Scientist England£450-£480 Per Day, Outside IR35RemoteImmediate StartThe CompanyThey are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and DeliverablesYou will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments. Design, build, and deploy machine learning models within Pega-based decisioning platforms. Lead model development across feature engineering, training, validation, and ongoing performance monitoring. Work closely with application and logic developers to embed models into operational decision workflows. Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases. Design and run experiments, including A/B testing, to quantify business impact. Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience Strong experience delivering data science solutions in client-facing or consulting environments. Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. Deep understanding of statistical modelling, experimentation, and model evaluation techniques. Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. Proven ability to communicate complex technical concepts to non-technical audiences. Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable. Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to ApplyIf you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks), • CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks), • Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. HTML Essentials (6 weeks) CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

Trainee Coding Programme – No Experience Needed Future-proof your career in Coding – starting today. Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. Train online at your own pace and land your coding role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks), • CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks), • Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Data Scientist London£450 - £500 Per DayOutside IR35Immediate Start3 Days In OfficeThe Company They are a data-driven organisation operating at scale, with a strong focus on leveraging analytics to improve performance and customer outcomes. Their teams bring together expertise across data science, engineering, and business strategy to deliver impactful projects. They value collaboration, curiosity, and pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning.The Role and Deliverables • Build, validate, and deploy machine learning models to solve business problems, • Translate complex data into actionable insights for non-technical stakeholders, • Work with structured and unstructured datasets to uncover trends and opportunities, • Collaborate with data engineers to ensure scalable and efficient data pipelines, • Deliver clear documentation and communicate findings effectively, • Support ongoing optimisation and monitoring of deployed modelsYour Skills & Experience, • Strong experience in data science or applied machine learning within a commercial environment, • Proficiency in Python or R, with experience using relevant libraries and frameworks, • Experience working with SQL and handling large-scale datasets, • Ability to communicate technical concepts clearly to a range of audiences, • Familiarity with model deployment and production environments, • A problem-solving mindset with a focus on delivering business valueHow to Apply If you are a Data Scientist looking for your next contract opportunity in London, apply now to learn more.

High Level Overview I am looking for candidates with proven experience driving AI adoption across a business (Copilot, ChatGPT, Claude or similar). This is not a Data Scientist/AI Engineer position. If you have helped organisations identify AI use cases, implement governance, train users and turn AI into measurable business outcomes, please review the rest of the role details below and contact me ASAP if interested: Lorenz Pasch at Hays Recruitment | Full contact details are available on my LinkedIn profileUnfortunately, no sponsorship options are available for this opportunity.Full role details: I am partnering with a leading UK organisation looking to hire a Technology AI Business Partner into a newly created role focused on driving AI adoption across the business. The challenge: AI tools are already being introduced into my client. This role exists to ensure adoption is structured, secure and delivers genuine value. You will be responsible for: • Partnering with business teams to identify practical AI use cases, • Translating business challenges into AI-enabled solutions, • Supporting adoption of tools including Copilot, ChatGPT, Claude and other emerging technologies, • Delivering training, guidance and best practice sessions, • Supporting AI governance, risk management and responsible usage, • Assessing new AI capabilities within existing technology platforms, • Tracking benefits and demonstrating business value The successful candidate will have: • Experience delivering AI adoption or digital transformation initiatives, • Strong business partnering/stakeholder management skills, • Ability to explain AI concepts to non-technical audiences, • Experience creating structure in fast-moving technology environments, • Understanding of AI governance, compliance and risk considerations Suitable backgrounds may include: • AI Adoption Specialist, • Technology Business Partner, • Digital Transformation Consultant, • AI Consultant, • Product Owner, • Business Analyst with strong AI exposure Location: London (4 days per week on-site) Strong benefits package: 15% pension, bonus, share scheme and wider incentives Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Data Scientist (Palantir / FDP essential) - £560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to applyI'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme.This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products.What you'll be doingYou'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services.On a day-to-day basis, you will:Lead exploratory data analysis to understand datasets and inform product decisionsDefine dashboard requirements and determine what good looks like from a reporting perspectiveDesign and build data pipelines and datasets for dashboardsIdentify and mitigate data quality risksDevelop reusable code in Python and PySpark for data prep and analysisCollaborate closely with Data Engineers, Analysts and UCD professionalsWork within modern engineering practices including CI/CD, TDD and DevSecOpsPair programme and contribute to a strong engineering cultureWhat I need from you (essential)To be considered, your CV must clearly show experience with the following:Palantir (FDP)PythonPySparkExploratory Data AnalysisData pipeline design / data engineering conceptsDashboard / reporting dataset developmentBI tools (Redshift, Databricks or similar)Agile delivery environmentsIf these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying.Nice to have (not essential)Experience within a wider public sector data environmentExposure to screening or clinical datasetsWhat this role ISA hands-on data role blending Data Science and EngineeringA chance to influence real-world digital servicesA collaborative Agile environment working with strong technical teamsA role where you'll own problems and drive solutionsWhat this role ISN'TNot a purely academic Data Science positionNot a reporting-only / BA-style roleNot a role where you'll just "pick up tickets" with no ownershipNot suitable if your experience is light on Python, PySpark or PalantirKey Details£560 per day (Inside IR35)Start ASAPRunning until November 2026 (extensions very likely)Remote with occasional travel to LondonMust be a UK National with 5+ years continuous UK residencyNext StepsIf this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application.If it looks like a strong match, I'll be in touch quickly to discuss next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

We are partnering with an innovative and rapidly growing AI-focused SME developing cutting-edge technologies to support law enforcement and public sector organisations. This is a unique opportunity to join a scaling business at an early stage, where you will have the autonomy to shape solutions, influence direction, and work on impactful, real-world challenges. This is a permanent position based in London with flexible working and a salary banding of £60,000 to £90,000 + excellent benefits. About the Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit someone who enjoys working close to the intersection of software, data, and hardware, gaining an understanding of how data is captured as well as how it is analysed. You’ll play a key role in developing scalable models and helping define the technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities • Develop and deploy data science models, with a focus on anomaly detection, • Work across multiple datasets, including biometric and GPS/location data, • Analyse and interpret data generated from wearable hardware devices, • Collaborate with engineering teams to understand data capture mechanisms and pipelines, • Contribute to shaping the technical roadmap and direction of the product, • Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant), • Scale solutions from prototype through to production Key Requirements • Proven experience as a Data Scientist within an SME or scaling environment, • Strong experience in machine learning and anomaly detection techniques, • Experience working with time-series, biometric, or GPS/location data, • Understanding of how data is generated from hardware or IoT/wearable devices, • Ability to operate with limited direction and take ownership of solutions, • Strong programming skills (e.g. Python, relevant ML libraries), • Experience deploying models into production environments What’s on Offer • Salary of £60,000 – £90,000, • Opportunity to join a high-growth AI company at an early stage, • High level of ownership and influence over technical direction, • Work on mission-critical solutions supporting law enforcement, • Exposure to cutting-edge problems across AI, biometrics, and geospatial data

• Have you had a career break of 12+ months?, • Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles?, • Are you ready to re-join the workforce with structured training, support and career coaching included? Then you’ll want to hear about the UK’s leading Returners Programme and the opportunities to join our Data & Analytics Practice. Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer, • Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior or lead consultant level. Within the FDM Skills Lab you’ll receive upskilling in: • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning, • Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications • Looking to return to work after a break in your career of 12+ months, • At least 5 years of prior commercial industry experience, ideally within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • The right to work in the UK Why join us? • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad, • Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Do you want to build AI and data products that are actually deployed into client environments? Have you worked on ML projects and wondered how they create commercial impact at scale? Are you ready to combine Data Science, consulting, and AI transformation in one role? A globally recognised strategy consultancy is hiring an Associate Consultant (Data Science) to join its growing European Data & Analytics team. The group is increasingly moving beyond traditional advisory work into designing, building, and deploying AI and data-driven solutions directly into client environments. You'll work across a broad range of industries while helping shape the next generation of analytics and AI offerings. This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting. You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects. 3 years of experience in data science/analytics required Key Responsibilities • Build and deploy Python-based ML and analytics solutions, • Support AI transformation and workflow automation initiatives, • Develop reusable data products and internal tools, • Present findings and demos to technical and non-technical stakeholders, • Work across analytics, modelling, dashboarding, and experimentation, • Collaborate with consultants, digital teams, and client stakeholders, • Contribute ideas and help shape new service offerings Key Details • Salary: £63,000 base + up to £13,000 annual bonus, • Working model: Hybrid (2–3 days per week in Victoria, London), • Tech stack: Python, SQL, Azure/cloud technologies, ML tooling, • Sponsorship: Exceptional candidates only Interested? Please apply below.

Senior Data Scientist Location: London Hybrid – 2/3 days a week Salary: Up to £75,000 + benefits Do you want to shape growth strategy at a global entertainment leader where data, AI and advanced analytics power unforgettable experiences? We’re looking for a Data Scientist who’s passionate about turning complex, large-scale data into predictive models and actionable insights that directly influence commercial decisions and long-term growth. What You’ll Do as a Data Scientist • Take ownership of high-impact growth use cases across marketing, pricing and demand forecasting., • Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities., • Work with large, diverse datasets to uncover patterns and trends that inform strategic decision-making., • Partner with Growth, Strategy and Technology teams to embed scalable data science solutions into operational systems., • Translate complex technical outputs into clear, compelling insights for senior stakeholders., • Drive experimentation and optimisation initiatives to improve performance across commercial channels., • Champion AI and machine learning innovation, staying ahead of industry best practice., • Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring as a Data Scientist • Degree in Computer Science, Mathematics, Engineering or a related field., • Proven experience in a data science or statistical role., • Expertise in advanced analytics techniques including machine learning, optimisation and segmentation., • Strong proficiency in Python, SQL and Spark SQL., • Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake., • Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow)., • Experience with data visualisation tools such as Power BI., • Strong commercial acumen with the ability to translate business problems into scalable analytical solutions., • Excellent collaboration and stakeholder influencing skills., • Knowledge of governance, compliance and ethical AI frameworks. Why You’ll Love It Here • Competitive Salary, • Hybrid working model, • Private pension scheme & life assurance, • Employee assistance programme, • Access to Perks at Work with thousands of national & local discounts, • Ongoing training and development opportunities If you’re ready to use data science to drive global growth and create meaningful business impact, apply now for this Data Scientist role and help power unforgettable experiences through insight and innovation. Unfortunately, due to the volume of applications, not all submissions will receive feedback

About the business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the team: You will be part of a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real-time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet, and every persona connected to it. On top of driving innovation projects, you’ll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: • Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards, • Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours, • Develop internal tools to streamline the model training pipeline and analytics workflows, • Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities, • Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences, • Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc, • Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: • Experience in a data science role, ideally within the fraud, risk, or payments domain, • Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus), • Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems, • Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail, • Have extensive multi-tasking and prioritisation skills. Needs to excel in fast paced environment with frequently changing priorities Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life Assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate with talented specialists, work with modern technologies, and play a key role in delivering innovative solutions across a diverse project portfolio What You’ll Do: • Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases, • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets, • Contribute to the design and implementation of scalable data science workflows and best practices, • Collaborate with cross-functional stakeholders to understand business needs and translate them into effective analytical solutions, • Support multiple projects from exploration through to deployment within cloud-based environments, • Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow, • Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models What We’re Looking For: Essential Skills & Experience • Proven experience solving complex, real-world problems using data science and analytics, • Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics, • Deep understanding of machine learning methods and their practical applicati, • on.Experience delivering multiple end-to-end data science projects across varied data types and business domains, • Familiarity with DevOps practices and tools such as Git, • Cloud experience (e.g., Azure, AWS) and working with ML platforms and services, • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders, • Ability to align analytical outputs with broader business objectives Desirable Skills • Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs), • Familiarity with generative AI and prompt engineering, • Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes, • Exposure to Agile development environments and software engineering best practices, • Experience working in large, complex organisations or regulated industries, • Strong working knowledge of Excel, SQL, Power BI, and Tableau

🌍 Long-Term Recruitment: Senior Scientist / Postdoctoral Researcher / Lecturer / Professor Position Overview We are recruiting outstanding PhDs in science and engineering to participate in collaborative projects with universities, research institutes, and enterprises in China. Candidates may work part-time online or full-time in China. Our partners include leading universities, research institutes, and listed companies, with strong advantages in international collaboration and innovation. We continue to introduce outstanding overseas PhDs and are committed to building a world-class research team. We are currently seeking highly experienced technical professionals with over 10 years of industry experience, including Senior Engineers, Technical Directors, and senior-level technical executives. Candidates should hold at least a Bachelor’s degree. Those with experience in Fortune Global 500 companies within the past 3 years will be given priority consideration. Research Directions We sincerely welcome applicants with interdisciplinary backgrounds. Research fields include, but are not limited to: 1. Core Research Fields (Strategic Domains) • Next-Generation Information Technology, • High-End Equipment & Intelligent Manufacturing, • Advanced Materials & Functional Materials, • Biomedicine & Biopharmaceuticals, • Energy & Sustainability (New Energy, Energy Efficiency, Environmental Protection), • New Energy Vehicles (NEVs) & Power Systems, • AgriTech & Bio-Breeding, • Digital Creativity & Future Computing Technologies, • Interdisciplinary Hard Technology 1. Urgent Hiring Areas (Chemistry, Materials & Related Sciences) • Chemical Engineering: Research on chemical processes, industrial chemistry, process optimization, reaction safety, and large-scale chemical production., • Polymer Science & Engineering: Design, synthesis, modification, and applications of advanced polymers, including high-performance structural and functional polymeric materials., • Advanced Functional & Sustainable Materials: Development of smart, eco-friendly, high-performance materials for energy, environment, medical, and industrial applications., • Catalysis & Reaction Engineering: Homogeneous/heterogeneous catalysis, photocatalysis, electrocatalysis, catalytic reactor design, and advanced reaction engineering., • Materials for Electronics & Biomedicine: Semiconductor materials, soft electronics, biomaterials, nanomaterials, multifunctional coatings, and advanced biomedical materials., • Energy Materials: Battery materials (Li/Na/Zn/Solid-state), hydrogen energy systems, fuel cells, photovoltaic materials, and energy storage systems. 1. Newly Added Urgent Hiring Fields • Optics & Photonics: Optical materials, photonic devices, laser technology, fiber optics, imaging systems, and optical instrumentation for scientific and industrial applications., • Astronomy & Space Science Materials: Instrumentation for telescopes, aerospace materials, detector technologies, optical coatings, space-environment-resistant materials, and simulation research related to astrophysical environments., • PI Thin-Film Technology (Polyimide Films): High-performance PI film synthesis, processing, coating technologies, flexible electronics applications, insulation films, and ultra-high-temperature polymer research., • Chemical Metallurgy & Extractive Engineering: Metal extraction, separation and purification, metallurgical chemical reactions, mineral processing, corrosion science, and advanced metallurgy for battery/semiconductor materials. 1. Additional Priority Talent Areas We are also urgently seeking experienced scientists and engineers (3+ years) with expertise in the following specialized domains: • OCA Optical Adhesives (Optically Clear Adhesives), • Silicon Photonics & Optoelectronic Coupling, • LED Epitaxy & Semiconductor Optoelectronics, • Water Treatment Membrane Technologies – especially Hollow Fiber Membranes, • TMR Magnetic Sensor Chips & Spintronics, • Polyurethane Materials & Foaming Technologies, • Engineering Plastics & High-Performance Modified Polymers, • Ceramic Dielectric Materials – including Ceramic Filters & RF Antenna Materials, • Power Semiconductor Devices – including GaN and SiC Materials 1. Emerging & Priority Fields • Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development, • Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing, • Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 1. Key Responsibilities • Conduct independent and/or collaborative scientific research, • Publish in high-quality peer-reviewed journals, • Apply for national/international research funding, • Supervise graduate students or junior researchers (if applicable), • Collaborate with domestic and international teams for research-to-industry translation 1. Candidate Requirements • PhD in Chemistry, Materials, Engineering, Physics, Optics, Data/AI, or related fields, • 3+ years of postdoctoral or professional research experience preferred, • Strong academic record (publications, patents, or projects), • Independent research capability and willingness to collaborate, • Open to all nationalities Compensation & Benefits Annual Salary: USD 100,000 – 350,000+ (based on qualifications) Research Startup Funding: Up to USD 400,000 Housing & Settlement Support: Up to USD 400,000 (talent apartments, rental subsidy, or purchase assistance) Additional Benefits: • Furnished talent housing or temporary accommodation, • Visa, residence permit, household registration support, • Healthcare, children’s education assistance, • Comprehensive onboarding and long-term service Career Development Pathways • Academic Track: Lecturer → Professor, • Research Track: Assistant Researcher → Senior Scientist, • Opportunities to establish independent research groups, • Support for international conferences and collaborations About Us We are a multinational academic and technology exchange company promoting global collaboration in research and innovation. Partnering with leading universities, institutes, and enterprises, we actively attract global PhDs to form internationally competitive research teams. Through our global platform, we foster cross-border knowledge exchange, technology transfer, and talent development, driving forward scientific advancement and innovation. Application 📩 Please send your application to: yuelin.guan@outlook.com yuelin.guan@suruntalent.com Application Email Title: “Application + Research Direction + Name” Required Materials: Resume (education background, research experience, publications, representative works)

A structured finance advisory firm continues to expand their team in London. This is a new position, supporting with execution and research. You'll gain experience working on a range of asset classes within structured finance/asset-backed financing Key Responsibilities • Execute Structured Finance Deals: Assist in the execution of buy-side and sell-side advisory, and transaction services., • Develop Analytical Tools: Collaborate on the creation and maintenance of risk management and analytical tools for asset portfolios and macro variables., • Conduct Research and Analysis: Independently research and present findings on topics like property valuation, model optimization, and ML/AI applications, and conduct ad-hoc data analysis. Key requirements • 1-3 years experience, • STEM master's or PhD, • Strong experience with Python (Pandas is a must), • a background in data science, with exposure to consumer loans or mortgages, • Full UK working rights APPLY

Do you want to shape how one of Europe's leading AI products measures success? Have you worked with large-scale text, conversational or semantic datasets to uncover product insights? Are you ready to influence product strategy through data rather than just reporting on it? We're hiring for a well-funded AI-native scale-up building one of the world's leading AI video generation platforms. Their technology enables users to create avatar-led videos from text and is used globally across training, internal communications, sales enablement and marketing. Having achieved significant growth and enterprise adoption, they are investing heavily in understanding how users interact with AI products and how those experiences can be improved. This role sits at the intersection of Product, Data Science and AI. You'll analyse large-scale conversational datasets, build evaluation frameworks for AI-native features, and directly influence product decisions through experimentation and insight generation. Key Responsibilities • Analyse large-scale conversational, prompt and interaction datasets, • Build and own AI product evaluation frameworks and success metrics, • Use NLP, semantic analysis and behavioural analytics to identify opportunities for improvement, • Design and analyse A/B tests and experimentation programmes, • Partner with Product Managers, Engineers and Directors to influence roadmap decisions, • Link AI feature usage to activation, retention, engagement and business outcomes, • Mentor analysts or data scientists and raise analytical standards across the team Key Details • Salary: £110,000–£125,000 (Senior/Tech Lead) or £120,000–£145,000 (Staff), • RSUs worth 50–100% of base salary, • Potential £10,000 sign-on bonus, • Hybrid London (ideally 2–3 days per week, flexible to 1 day), • Stack: Python, SQL, NLP, Text Analytics, Semantic Analysis, Experimentation, dbt Interested? Please apply below.

Data Scientist or Senior Data Scientist (Gen AI) | AI Tech Start-Up | £60k-£100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office) We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented Data Scientist or Senior Data Scientist The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical Data Science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist include: • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred., • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more., • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

Senior Data Scientist, London/Oxford hybrid working. Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities • Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications., • Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation., • Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques., • Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows., • Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability., • Write production-ready Python code and partner with engineering teams to deploy solutions at scale., • Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements • Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field., • Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments., • Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices., • Strong Python skills and solid machine learning fundamentals., • Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks., • Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact., • Familiarity with cloud platforms and modern software engineering practices., • Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Lead Data Scientist (Agentic AI) | AI Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (1 Day Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead Data Scientist (Agentic AI). This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Lead Data Scientist (Agentic AI), you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Lead Data Scientist (Agentic AI) include: • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments, • Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks, • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

Product Analyst London (Hybrid – 2x Days a Week in Office) £80,000-£90,000 Sponsorship - Available The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy, • Designing, running, and evaluating experiments to optimise product performance and improve conversion, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery, • Building and maintaining dashboards and self-serve tools for quick access to core insights, • Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: • Strong SQL, • Python/R experience preferrable, • Experience with dbt and modern data stacks a bonus, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders, • Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits • Salary up to £80,000 – £90,000, • Bonus IMPORTANT NOTE • Sponsorship is available for this role How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Do you want to work on pricing models that challenge the status quo? Have you ever built predictive models on large, messy customer datasets? Are you ready to experiment with new modelling approaches inside a major UK insurer? A leading digital-first UK insurer is hiring a Senior Data Scientist to join a specialist pricing innovation team. The business serves over two million customers and has invested heavily in data infrastructure and modern modelling capabilities. This team acts as a pricing R&D function, experimenting with new modelling techniques and data sources to challenge and improve traditional pricing approaches. You will build predictive models using large behavioural datasets and help introduce new modelling approaches into production pricing systems. The role offers strong technical ownership in a small, innovative team working closely with core pricing functions. Key Responsibilities • Build predictive models on large and complex datasets, • Develop residual and pricing models to test new signals, • Work on geospatial / footprint modelling problems, • Deploy models using Azure ML and internal infrastructure, • Experiment with new data sources to improve pricing models, • Mentor a graduate data scientist Key Details • Salary: £60,000 - £75,000 (up to £80,000 for exceptional candidates), • Bonus: ~20% + £5k car allowance, • Working model: Hybrid (1 day per week in office – London), • Tech stack: Python, SQL, Azure ML, GraphDB, • Visa sponsorship: Available Interested? Please apply below.

Role Summary The Data Scientist supports the development and implementation of data-driven solutions to solve business challenges and enable informed decision-making. The role involves exploratory data analysis, predictive modelling, and collaboration with cross-functional teams to deliver actionable insights. This position focuses on applying statistical techniques and machine learning methodologies to improve business performance, with opportunities for continuous learning in a fast-paced environment. Key Responsibilitie • sPerform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunitie, • sDevelop and validate machine learning models (regression, classification, clustering, etc., • )Conduct feature engineering, hypothesis testing, and model evaluatio, • nTranslate business requirements into data science use cases and analytical solution, • sDeliver actionable insights to drive optimisation, efficiency, and performance improvemen, • tSupport decision-making through data-backed recommendation s Experience & Qualificatio • nsExperience in data science / advanced analytics environmen, • tsHands-on experience with machine learning techniques and statistical modelli, • ngExperience working with programming languages such as Python / R / S, • QLExposure to cloud platforms (Azure / AWS / GCP) and big data ecosyste, • msExperience in data visualisation tools (Power BI / Tablea u) Skills & Competenc ies Technical Sk • illsStrong understanding of data modelling, machine learning frameworks, and statistical anal, • ysisProficiency in Python libraries (Pandas, NumPy, Scikit-le, • arn)Good exposure to Azure and Databr, • icksExperience working with structured and unstructured data sets Core Compete • nciesStrong analytical and problem-solving mi, • ndsetEffective communication and stakeholder management s, • killsAbility to work collaboratively in cross-functional, • teamsStrong attention to detail and data-driven decision-making app, • roachDemonstrated continuous learning mi ndset Additional Requirements (Mand • atory)Hands-on experience in, • PythonExperience in Azure and Databricks and ML model development & Depl, • oymentExperience in Tableau or similar visualisation tools

If you’re excited by the idea of building intelligent, agent-driven and GenAI-powered systems that operate in the real world, this role puts you right at the heart of that evolution. An opportunity to join a large, specialist Enterprise Data & Analytics practice delivering cutting-edge Agentic AI, Generative AI, Data Science and advanced analytics solutions for complex problems across industries, throughout the UK. As a Data Scientist in this team, you’ll help clients move beyond experimentation into real-world AI adoption. You’ll work on designing, building and deploying intelligent solutions that combine machine learning, GenAI and agent-based systems to improve decision-making, automate complex tasks and unlock new value from data. You’ll play a hands-on role in both technical delivery and client engagement — helping organisations understand what’s possible with modern AI and turning that potential into scalable, production-ready solutions. What You’ll Be Doing • Supporting the end-to-end delivery of Agentic AI, GenAI, Data Science and Analytics projects, ensuring client expectations are met at every stage, • Designing and building data science and AI solutions that move from proof of value into production environments, • Developing intelligent agents and GenAI-powered workflows that augment or automate business processes, • Creating compelling demonstrations and prototypes that inspire clients and showcase how AI and advanced analytics can be applied to their real business challenges, • Applying structured problem-solving to messy, real-world data problems — balancing creativity with practical implementation, • Collaborating closely with data engineers, architects, domain experts and client stakeholders to deliver robust, scalable outcomes, • Continuously developing your skills in AI, data science and analytics, adopting modern techniques, tools and frameworks with support from a strong peer community, • Delivering work efficiently and to a high standard, contributing to internal best practices and reusable assets Your Skills & Experience You’re a technically strong, curious data scientist who enjoys working at the frontier of applied AI while staying grounded in delivering real business value. • Experience delivering data science or AI solutions in production or near-production environments, • Strong problem-structuring skills and the ability to translate business challenges into analytical approaches, • Confidence explaining complex AI and data science concepts to non-technical stakeholders Technical experience in several of the following: Programming & Data Science • Proficiency in Python, R, or PySpark, • Experience with machine learning, statistical modelling, or optimisation techniques, • Working with large, complex datasets in cloud or distributed environments Cloud & Data Platforms Architectural knowledge or hands-on experience with one or more major data/AI platforms: • Google Cloud Platform (GCP), • Amazon Web Services (AWS), • Microsoft Azure, • Databricks Agentic AI & Generative AI Experience with or interest in emerging Agentic and GenAI ecosystems, such as: • Agent and orchestration platforms (e.g. Microsoft Copilot Studio, Adept AI, UiPath, Orby AI, Beam AI), • LLM-based solution design, prompt engineering and tool integration, • Building AI agents that can plan, reason, and interact with systems or users, • Applying large language models in enterprise contexts with appropriate governance and controls

About Metabolic Metabolic is a pioneering healthcare clinic based in Knightsbridge, London, delivering comprehensive, technology-enabled, and patient-centric care for individuals with diabetes, obesity, cardiometabolic conditions and other metabolic disorders. We are redefining chronic disease management through an integrated care model, continuous monitoring technologies, and a multidisciplinary team approach that places the patient at the centre of every clinical decision. Job Summary We are seeking a qualified and experienced Laboratory Manager - HCPC-registered Biomedical Scientist or equivalent - to lead the day-to-day operation, quality and regulatory standing of our laboratory and diagnostic services. The successful candidate will play a critical role in delivering accurate, timely and clinically meaningful pathology results that underpin the diagnosis and management of diabetes, cardiovascular disease, endocrine disorders, obesity-related complications and associated metabolic conditions. The post-holder will work collaboratively across our integrated care model and contribute to the continued development of laboratory and point-of-care services at Metabolic. Key Responsibilities 1. Laboratory Operations & Diagnostic Service Delivery • Manage the daily operation of the laboratory across the pre-analytical, analytical and post-analytical phases, ensuring accurate and timely reporting against agreed turnaround times (TATs)., • Oversee the metabolic test repertoire — including HbA1c, oral glucose tolerance testing, lipid profiles, liver and renal function, thyroid and reproductive hormone panels, vitamin and micronutrient assays, inflammatory markers, and emerging cardiometabolic biomarkers., • Manage point-of-care testing (POCT) services in clinic rooms in line with ISO 22870 / ISO 15189 POCT requirements, including operator training, competency and integration with the LIMS., • Establish and maintain referral arrangements with UKAS-accredited reference and esoteric laboratories (NHS and private), including service-level agreements, sample logistics and result integration., • Ensure adequate stocks of reagents, controls, calibrators and consumables, managing supplier contracts and cost control within the agreed budget., • Lead the setup, configuration and ongoing optimisation of the EMR and LIMS, driving end-to-end laboratory digital workflow implementation and integration with clinical systems., • Manage real-time laboratory operations and TAT-driven workflows, using performance dashboards and exception reporting to maintain throughput and service standards., • Plan and monitor the laboratory budget, providing financial oversight, cost-per-test analysis and variance reporting to support sustainable service delivery., • Lead vendor negotiation and contract management discussions for analysers, reagents, consumables and managed-service agreements, ensuring value for money and continuity of supply. 1. Patient Pathway & Sample Management • Oversee the patient journey from phlebotomy and sample collection through to reporting, ensuring patient comfort, dignity, privacy and safety at every step., • Ensure robust patient identification, consent capture for diagnostic testing, and clear communication of pre-test instructions where required., • Support clinicians in the sensitive communication of significant or unexpected results, in line with Duty of Candour expectations., • Ensure safe transport of pathology specimens in line with UN3373 (Category B) and ADR road transport regulations for couriered samples. 1. Collaboration and Consultation • Work closely with other healthcare professionals - including endocrinologists, cardiologists, bariatric physicians, surgeons, GPs, dietitians, nurses and allied health practitioners - to deliver coordinated, comprehensive care., • Participate actively in multidisciplinary team (MDT) meetings and clinical governance forums, providing pathology insight on complex cases., • Liaise with external referrers, reference laboratories, tertiary centres and NHS partners as required., • Support business development by advising on new test introductions, pricing of test bundles and capacity planning for advanced metabolic diagnostics (e.g. advanced lipoprotein analysis, CGM-linked diagnostics, insulin resistance panels). 1. Quality, Safety and Regulatory Compliance • Maintain the highest standards of diagnostic quality and clinical governance, acting as the laboratory Quality Manager and owner of the Quality Management System (QMS)., • Ensure compliance with UKAS ISO 15189 (Medical laboratories - Requirements for quality and competence), ISO 15190 (laboratory safety) and ISO 22870 (point-of-care accreditation/certification with UKAS)., • Comply with all Care Quality Commission (CQC) Fundamental Standards and contribute to evidence for inspections, internal audits and management reviews., • Ensure compliance with Medicines and Healthcare products Regulatory Agency (MHRA) requirements for in-vitro diagnostic medical devices, including incident and vigilance reporting, • Adhere to information governance obligations under the UK GDPR, Data Protection Act 2018, Caldicott principles and, where applicable, the Data Security and Protection Toolkit (DSPT)., • Maintain compliance with the Health and Safety at Work etc. Act 1974, COSHH 2002, RIDDOR 2013, the Health and Safety (Sharp Instruments in Healthcare) Regulations 2013 and Hazardous Waste Regulations., • Understand, follow and actively support all clinic infection prevention and control programmes, in line with UKHSA guidance and the Health and Social Care Act 2008 Code of Practice., • Manage internal quality control (IQC), External Quality Assessment (EQA) participation (e.g. UK NEQAS) and corrective action processes; investigate non-conformities and incidents and lead root cause analysis and CAPA SOPs & Policies., • Stay updated with the latest advancements in laboratory medicine and implement evidence-based best practice. 1. People Management, Professional and Administrative Duties • Lead, develop and retain a high-performing team of Biomedical Scientists, Medical Laboratory Assistants and phlebotomists; manage rotas, leave and absence in line with the Working Time Regulations 1998 and the Equality Act 2010., • Maintain employee files, induction records, competency assessments and CPD evidence; conduct appraisals and support staff through IBMS portfolio progression, HCPC revalidation and registration renewal., • Maintain accurate, contemporaneous and complete laboratory and patient records, including LIMS audit trails and document control., • Participate in continuous professional development (CPD) in line with IBMS / HCPC requirements and engage fully with annual appraisal and revalidation., • Maintain appropriate professional indemnity cover at all times., • Complete all mandatory training, including (but not limited to) Basic Life Support, fire safety, manual handling, equality and diversity, information governance and infection prevention and control., • Assist in the development and implementation of departmental policies, standard operating procedures and service improvement initiatives. Qualifications and Experience • BSc (Hons) in Biomedical Science (IBMS-accredited) or equivalent life-science degree recognised for HCPC registration., • Current Health and Care Professions Council (HCPC) registration as a Biomedical Scientist (essential)., • Active membership of, and CPD compliance with, the Institute of Biomedical Science (IBMS); Specialist Portfolio or Higher Specialist Diploma in Clinical Biochemistry (or related specialism) preferred., • Postgraduate qualification (MSc in Biomedical Science / Clinical Science, or MBA / MSc in Healthcare Management) is desirable., • Right to work in the United Kingdom., • Satisfactory Enhanced Disclosure and Barring Service (DBS) check., • Minimum of 5 years' post-qualification experience in a UKAS-accredited clinical laboratory, with at least 2 years in a supervisory or management capacity., • Demonstrable experience of UKAS ISO 15189 implementation, CQC inspection and laboratory quality management; experience working in a private / independent healthcare setting is highly advantageous., • Strong working knowledge of clinical biochemistry within metabolic, endocrine and cardiovascular pathways; experience of haematology, immunoassay and point-of-care testing is desirable., • Familiarity with LIMS, EPR integration and digital pathology workflows., • Strong analytical, leadership and people-management skills with meticulous attention to detail., • Excellent written and verbal communication skills and proven ability to work effectively within a multidisciplinary team., • Fluent English (written and spoken). Personal Attributes • Patient-centred approach with a commitment to delivering compassionate, high-quality care., • Collaborative mindset and willingness to contribute to a multidisciplinary, integrated model of care., • Curiosity and enthusiasm for innovation in chronic disease management and digital health., • Reliability, professionalism and sound clinical judgement. What We Offer • The opportunity to work in a cutting-edge, patient-first integrated care model in the heart of Knightsbridge., • A supportive, collegiate and innovative clinical environment., • Continuous learning and career development in chronic disease management and digital health., • A competitive salary and benefits package., • Remuneration: Competitive salary, • Annual Leave: 25 days annual leave, • Development: Support for specialist training and professional development in metabolic medicine., • Bonus: Performance-related bonus scheme, reviewed annually, based on the achievement of agreed operational, governance, and service development objectives. Bonus payments are entirely discretionary, non-contractual, and will never be linked to prescribing volumes, medicines sales, or any clinical decision making. Full details of the scheme will be provided at offer stage.

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge. Responsibilities • Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding., • Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline., • Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI., • Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation., • Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value., • Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement., • Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems., • Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements • Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area., • Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including fine-tuning LLMs and/or SLMs., • Strong Python skills and a habit of writing clean, maintainable, well-tested code., • A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement., • Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets., • Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib., • The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality., • Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Senior AI / ML Data Scientist - VP London | Front Office | Equities / Prime Services Currently partnering with a major global financial institution hiring a senior VP-level AI / Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues. The environment is: • highly technical, • delivery-focused, • commercially driven, • exceptionally fast paced Strong preference for candidates who have: • built and deployed ML models in production, • strong Python / PyTorch capability, • neural network experience, • advanced statistical / mathematical foundations, • experience solving complex prediction or optimisation problems, • ability to lead technically while remaining hands-on The role sits very close to the business and successful candidates will be expected to demonstrate measurable progress and impact quickly. Interesting opportunity for individuals coming from: • front-office banking, • systematic trading, • quant research, • applied AI/ML, • electronic trading, • hedge funds, • advanced predictive analytics environments Interview process includes technical deep-dives and presentation of prior projects / implementations. London based. Message me directly for a confidential discussion.

Data Scientist Salary up £60,000 + Benefits Hybrid | London We've partnered with a large, established business to find a Data Scientist who will help translate complex data into insights that drive real commercial decisions. This is an organisation with significant scale and a growing focus on data and digital capability. You'll sit within a dedicated data function, working closely with a Senior Data Scientist and collaborating across engineering, product and business teams to build models that get used, not just presented. Responsibilities as a Data Scientist: • Conduct exploratory data analysis to identify trends, patterns and anomalies across large datasets, • Build, refine and deploy machine learning models to solve business problems, • Perform data cleaning, feature engineering and transformation to ensure data quality and model suitability, • Support integration of models into business processes and operational systems, • Monitor deployed model performance and recommend adjustments as needed, • Work with cross-functional teams to translate business needs into data science solutions, • Communicate findings and model outputs clearly to non-technical stakeholders Requirements: • Degree in Computer Science, Mathematics, Engineering or a related discipline, • 2+ years of experience in data analysis, statistical modelling or data science, • Hands-on experience with Python, R or SQL, • Proven experience with machine learning algorithms and data science methodologies, • Familiarity with cloud platforms, big data technologies and distributed computing, • Experience with data visualisation tools such as Power BI or Tableau is a plus, • Strong communication skills with the ability to present complex insights to non-technical audiences Why apply?: • A business with real scale, where data science work has genuine commercial impact, • Structured support from a Senior Data Scientist with clear scope to grow, • A team that invests in continuous learning and staying current with new tools and techniques, • Varied problems across a complex, multi-site organisation, • London-based role within an established and expanding data function If you're a Data Scientist looking for a role with solid foundations, real data and room to develop, get in touch. Apply now or message me directly. Due to the high volume of applications, not all applicants will receive feedback.

Product Data Scientist (AI-Native Products) – Senior / Staff Level Location: London (Hybrid – 2–3 days onsite) Level: Senior / Tech Lead or Staff Salary: £110,000-£145,000 + strong shares The Opportunity We’re partnering with a fast-growing, AI-native SaaS organisation building next-generation, assistant-led products powered by large-scale conversational data. This is a unique opportunity to join a high-impact team working at the forefront of human–AI interaction, where your insights will directly influence product direction and user experience. You’ll sit at the centre of a growing analytics function, acting as a hub across multiple product areas, shaping how the business understands and improves AI-driven conversations at scale. What You’ll Be Doing • Analyse high-volume text and conversation data to uncover meaningful patterns and user behaviours, • Apply semantic analysis and NLP techniques to improve product performance and user experience, • Partner closely with product and engineering teams to translate insights into actionable decisions, • Build scalable data pipelines and analytical frameworks using Python and SQL, • Take ownership of end-to-end analysis – from problem definition to recommendations and impact, • Influence product direction through insight-led, exploratory analysis, not just optimisation What We’re Looking For • Proven experience working with large-scale text or conversational datasets (essential), • Strong background in semantic analysis / NLP (required), • Advanced Python and SQL skills, including building data pipelines, • Experience collaborating with product teams and driving real business impact from data, • Comfortable working in ambiguous, exploratory environments, • Track record of owning projects end-to-end, from data exploration through to recommendations Nice to Have but not required • Experience with dbt or modern data stack tools, • Background in AI-first, messaging, or text-heavy platforms, • Exposure to non-tabular / unstructured data environments Why This Role? • Work on genuinely cutting-edge AI products in a text-first, data-rich environment, • Directly impact how AI systems understand and respond to users, • Join a high-growth, product-driven organisation with strong technical leadership, • Take on a strategic, high-ownership role with visibility across the business, • Competitive compensation with meaningful shares Apply below!

Associate Scientist – Upstream Process Development Roles: Full-time, permanent Location: Harrow, London (5 days per week on site) Salary: Competitive + bonus + benefits Candidates must have the legal right to work in the UK - we cannot offer any form of sponsorship for this role The Role: As we develop our new ‘Biopharma’ business unit at Accord, we’re seeking a proactive and methodical Research Scientist / Research Associate to join our growing Upstream Process Development team. You will support our cell culture operations (revival, subculture, cryopreservation, cell culture media preparation), optimising mammalian cell culture parameters through our Ambr250 bioreactors and other advanced process development equipment. Working across the clone lifecycle in the bioreactors, you’ll perform inoculation till harvest including daily monitoring activities and associated data analysis in-line with all quality and safety requirements. To ensure the best results, you’ll undertake regular data analysis (such as cell density, viability parameters, metabolite analysis, etc.) from advanced process development equipment and troubleshoot technical activities. To support the smooth running of the department, you will complete COSHH, risk assessment and peer review lab documentation and maintain equipment-specific SOPs. Design of Experiments will be routinely performed for process development activities, producing data summary and progress reports, along with participating in safety inspections, stock checks and maintaining our ‘state of the art’ machines. In this exciting role, you’ll get the opportunity to learn and work collaboratively with the different workstream teams (in the UK and with our colleagues abroad from our established Biopharma unit at Intas Pharmaceuticals) and to grow with the team to support our ambitious growth plans. The Person: • Experience in a similar Research Scientist / Research Associate role within the biopharma / biotech / contract research labs sector, with good technical experience in automated bioreactors for mammalian cell culture (e.g. ambr250/small scale bioreactors)., • Conduct upstream process development activities including seed train expansion, production bioreactor operations (shake flask, spinner flask, Ambr250, benchtop bioreactors)., • Prepare and document media, feeds, buffers, and supplements accurately and in a timely manner., • Monitor batch performance by regularly recording parameters (VCD, viability, metabolites, pH, DO, etc.) and responding to deviations or unexpected trends., • Set up, operate, clean, and maintain cell culture equipment including incubators, bioreactors, and analytical tools., • Able to execute cell culture activities such as media/ feed preparations, Ambr/ Bioreactor maintenance, daily monitoring independently, • Proficient in mammalian cell culture techniques (e.g., CHO, HEK) in shake flasks, Ambr250, and small-scale bioreactors., • Experience in daily monitoring and primary recovery of bioreactors., • Good knowledge of GLP and understanding of GMP requirements., • Good understanding of therapeutic antibody / protein quality attributes., • Good IT and data analysis skills, including use of Microsoft Office (i.e. Excel, Word, PowerPoint) and biopharma analysis software (e.g. Biopat process insights, MFCS, DoE software etc.), • Excellent communication skills (written and spoken English), confident working with colleagues of all seniority levels and able to navigate cultural differences with ease., • Proactive and agile team player, but equally comfortable working on own initiative., • Strong organisation skills, able to manage conflicting tasks to meet deadlines and to solve problems on your feet, even in a busy and changeable work environment., • Degree / Masters / PhD level qualification in a Biological Science or technical scientific discipline. The Rewards: In return, we offer a competitive salary package (with bonus, holiday and pension scheme), and a range of other benefits to support our team. Not to mention the opportunity to be part of a new department within a progressive and expanding business with increasing global reach, and the support of ongoing training and development. How to Apply If you possess the experience, passion and ability to make this role a success then we would like to hear from you. Please complete your Candidate Profile on our careers site to apply for this role. For more information, you can contact us on: careers@accord-healthcare.com

Data Scientist Location: London (Hybrid – 2 days/week in-office) £55-60K base + Bonus & Benefits An exciting opportunity for a commercially-minded Data Scientist to join a global leader in the digital entertainment and consumer technology space. This is a hands-on role within a central Data & AI function, focused on applying statistical modelling and experimentation to solve business challenges across marketing and customer analytics. About the Company: This well-established media tech-driven company operates across multiple regions and reaches millions of users worldwide. With a strong data culture and a growing analytics function, they are investing in smarter decision-making powered by data science and AI. The environment is fast-paced, product-led, and driven by innovation. About the Role: You’ll work on high-impact projects, building statistical models, experimentation frameworks, and marketing effectiveness tools. From marketing mix modelling to A/B testing, your work will directly support cross-functional teams in making informed, data-driven decisions. You’ll collaborate with engineers, analysts, and business stakeholders to develop scalable solutions and translate insights into real-world impact. Key Responsibilities: • Build and implement statistical models for customer and marketing analytics, • Design A/B tests and incrementality frameworks to measure business impact, • Develop and maintain marketing mix models to evaluate campaign performance, • Work with large datasets using Python and SQL, • Communicate insights clearly to non-technical stakeholders, • Collaborate with technical teams to bring models into production, • Continuously improve model performance and business integration, • Working in a global team with a focus on GenAI / LLMs. Skills & Experience Required: Must-have: • 2–4 years of hands-on experience in a Data Science or Analytics role, • Strong foundation in statistics, hypothesis testing, regression, and experimental design, • Proficiency in Python (pandas, numpy, statsmodels, scikit-learn), • SQL experience for data wrangling and analysis, • Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have no secrets for you, • Strong communication and stakeholder engagement skills

APPLIED ML SCIENTIST | REINFORCEMENT LEARNING Build Reinforcement Learning Systems For The Real World 📍 £80k – £110k 💰 London, Hybrid Why is this exciting? Because this sits at the convergence of several areas that are becoming increasingly important: • Reinforcement Learning, • Physical AI, • Digital Twins & Simulation, • Federated Learning, • Edge AI, • Critical Infrastructure, • Sustainability Most AI companies are building tools that generate content. This team is building AI that makes decisions in the real world. Backed by fresh funding and entering a major growth phase, they're developing a new generation of AI systems capable of learning, adapting and optimising complex physical environments. Their first challenge? Reducing the energy consumption of data centres through reinforcement learning and distributed AI. The problems are messy, ambiguous and genuinely difficult. You'll be working with real telemetry, real constraints and real-world systems where model performance has a direct impact on energy efficiency, sustainability and operational outcomes. This isn't about tweaking prompts or wrapping foundation models. It's about building intelligent systems that can learn how the physical world behaves and make better decisions because of it. They're looking for someone who combines strong machine learning fundamentals with the curiosity to understand how complex systems actually work. Someone who enjoys moving between research, experimentation and production, and gets excited by solving problems that don't already have a playbook. You'll have the opportunity to work across reinforcement learning, simulation, federated learning and next-generation AI systems, helping shape technology that extends far beyond a single use case. For the right person, this is a chance to join at a pivotal moment. The team is growing, the roadmap is ambitious, and the technical challenges are the kind that attract people who want to push the boundaries of what AI can actually do. Experience required: • Strong hands-on experience with Reinforcement Learning (RL), • Python and modern ML frameworks (PyTorch, JAX, TensorFlow), • Experience working with time-series or sensor data, • Ability to turn real-world problems into practical ML solutions, • Comfortable taking models from research into production, • Educated to degree level (or higher) in ML, Physics, Engineering, Mathematics or a related field Nice to Have • Control systems, optimisation or simulation experience, • Federated Learning, Edge AI or Distributed ML, • Digital twins, thermodynamics or physical systems knowledge, • Safe RL, Offline RL, GNNs or Multi-Agent Systems, • MSc/PhD or published research in a relevant field Ideal Profile Someone who enjoys solving hard, real-world problems at the intersection of AI, engineering and physical systems.

📌 Official job title - Lead Portfolio Analyst 📌 London or Hampshire (2 days a week in-office) 📌 Up to £105k + 10% bonus Who are they? A well-backed InsurTech leading the UK short-term motor insurance market, one hour to one month cover, at serious volume. They feel like a start-up in the best sense, small team, real ownership, people who care about doing good work. Collaborative but autonomous, they hire people who take ownership and get things done. What's the role? You'll build and refine the logic that determines which risks they take on, at what price, and why, using real data in near real time. Around 70% heads-down individual contribution, 30% leading projects and developing junior analysts. On any given week you might be: • Building fraud detection models and identifying new risk signals at point of quote, • Developing pricing and risk strategies to grow the portfolio profitably, • Getting models into production so they're shaping live policy decisions every day, • Keeping a close eye on KPIs and working out what to do when something goes the wrong way, • Helping junior analysts develop their thinking and technical skills Who are they looking for? They're open to two profiles. Someone from underwriting or pricing in UK motor or GI who has built strong Python and SQL skills alongside deep domain knowledge, or a technically strong data scientist or analyst with solid insurance experience who wants more ownership than their current role gives them. Either way, the non-negotiables are the same: strong technically, understand the insurance world, and able to explain complex findings clearly to non-technical people. • Strong Python or R and expert-level SQL, • Fraud analytics experience, or someone who can think through it quickly from first principles, • Data enrichment experience, or again, someone who approaches new problems with fresh thinking, • BI tools such as PowerBI or Tableau, • Takes ownership, works well across teams, wants to lead not just contribute, • Cloud data warehouse experience (BigQuery, Azure or similar) is a nice to have but not essential And the good stuff! 🎯 10% discretionary bonus + annual pay reviews 🌍 Up to 22 "work from anywhere" days per year 🏥 Private medical cover + critical illness insurance 💰 Employer pension matching up to 7.5% 🏖️ 25 days holiday, rising to 30 with tenure, plus 2 "my time" days 🏠 £300 one-off WFH setup budget ⚡ EV scheme + cycle to work 👶 Market-leading parental leave across all types 📚 Dedicated learning and training budget If this sounds like your kind of place, we'd love to hear from you. You don't need to tick every single box. If this sounds like your kind of place and your background is in the right ballpark, we'd love to hear from you. 💻 info@meetskillful.com / chris.manning@meetskillful.com

PRODUCT OWNER / DATA-ALGORITHM ANALYST The firm is a leading B2B SaaS company that provides a comprehensive and fully integrated SaaS solution to Managing Agents who manage buildings and estates and Accountants who undertake Service Charge Accounting. The company has a broad Product offering and is continuing to expand it. Utilising desktop and native mobile apps as the user interfaces, and AI Agents are being embedded into the Products moving forward. You will have the satisfaction of being a key contributor to an aspect of the essential growth of the business. And as you take on more responsibility and help the company grow, you will share in the success. Currently a team of diverse, engaged, passionate and pragmatic people who thrive on solving challenges, achieving success and having fun while doing so! The role is primarily home based but may require occasional working in and around London. THE ROLE The company is looking for a Product Owner / Data-Algorithm Analyst who will have a key position working to building out these new Products. The person will be working with the established leadership team, liaising with clients and internal stakeholders and using their critical thinking, together with design and data analysis ability to help translate feature requirements into working product that can be used by clients. You will understand the technical and data aspects of the system to facilitate a pragmatic approach to design and be able to demonstrate the ability to understand and exploit algorithms supported by AI toolsets we utilise to achieve our goals. WHAT WILL YOU BE DOING? • Translating high level product features into detailed, unambiguous requirements outline screen/data designs with clear acceptance criteria., • Analysing data and process to look for patterns we can translate optimally to build AI agents., • Structuring and tweaking algorithms utilised in client facing solutions., • Owning the delivery backlog for your Products within the estate of products, refining feature requirements, writing user stories, setting priorities, and managing issues through to completion., • Undertaking user acceptance testing based on acceptance criteria., • Coordinating timelines and releases, ensuring developers are working to clear goals and delivery milestones., • Working closely with internal stakeholders (marketing, development, customer support) to refine requirements, manage expectations, and communicate progress., • Supporting the development team by removing blockers, clarifying requirements, and making delivery decisions quickly., • Drafting release notes and help centre updates associated with Product releases., • Providing assisting as needed to the Customer Support team for the product in the live environment. WHO ARE YOU? • Demonstrable experience as a Product Owner / Data analyst/ Data scientist Functional Designer, • Ideally experience of working in a B2B SaaS environment., • Competent at technical writing; ability to create functional specifications/blueprints and solutions-orientated screen and data designs, • Competent at understanding and extracting data in relational databases for assessment and testing(SQL), • Competent a data analysis and basic statistics, • Competent at understanding JSON data structures and being able to visual data manipulation., • Ideally some experience in Machine Learning/Artificial Intelligence and / or Native apps.