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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.

Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: • A passion for clean data/statistics, • At least 3 years’ previous experience as a data scientist, • Python skills/experience, • Comfortable in an Agile environment, • Knowledge of GitHub, • Interest in gaming/esports, • Previous experience with machine learning models and established statistics In return, they can offer: • A salary of up to £85k (depending on experience), • A generous training/personal development budget, • Transport contributions, • Flexible working hours, • A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!

Salary: up to £90,000 Location: London, hybrid working Contract: Permanent Overview of the Senior Pricing Data Scientist role Sellick Partnership is currently recruiting for a Senior Pricing Data Scientist to join a growing insurance business within its pricing team. This is an excellent opportunity for an analytical and commercially minded pricing professional to take on a role with real ownership, visibility and influence. The successful candidate will support the continued growth of a specialist insurance product, using data, insight and pricing analysis to inform decision-making and help shape future pricing activity. Key responsibilities of the Senior Pricing Data Scientist will include • Preparing detailed pricing analysis to support senior decision-making, • Reviewing data and producing clear, accurate insight with minimal technical oversight, • Recommending pricing actions based on analysis, trading performance and wider business context, • Interpreting key trends and presenting relevant findings to stakeholders, • Applying commercial judgement when balancing technical accuracy, speed and market conditions, • Prioritising workload based on likely business impact and value, • Working closely with MI and data teams to improve reporting, insight and data availability, • Supporting the development of pricing capability across the product area Required experience and qualifications of the Senior Pricing Data Scientist will include • Experience working within personal lines insurance pricing, • Strong statistical and analytical skills, • Experience using data to identify patterns, trends and commercial opportunities, • A degree in a numerate subject, or equivalent experience, • Knowledge of machine learning techniques for analysis and production, • Experience using Python and/or SQL would be advantageous, • Household insurance pricing experience would be beneficial, • A pragmatic, curious and solutions-focused approach, • Ability to work at pace while maintaining accuracy and attention to detail Benefits available alongside the Senior Pricing Data Scientist position include • Competitive salary, • Hybrid working arrangements, • Opportunity to join a growing insurance business, • Scope to take ownership of analysis and influence pricing decisions, • Career development within a specialist pricing function How to apply for the Senior Pricing Data Scientist position If you believe you have the required experience for this Senior Pricing Data Scientist opportunity, please apply within. Alternatively, for a confidential discussion about the role or organisation, please contact the Actuarial team at Sellick Partnership. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

Do you want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist (1–2 years experience) for a well-established UK consumer fintech operating across lending and credit products. The business is profitable, highly data-driven, and known for its strong engineering and modelling standards. With continued international growth, there is significant opportunity to work on impactful, production-level problems. This is not a reporting or BI role. You’ll be building models that directly influence customer outcomes, risk, and growth. The Role You’ll join a core modelling team focused on applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities • Build and deploy production ML models used in live decision-making, • Work on customer prediction problems including pricing, forecasting, and segmentation, • Develop models using Python and SQL on large-scale datasets, • Own the full model lifecycle from data extraction to deployment and monitoring, • Collaborate with Product and commercial teams to drive decisions Candidate Profile • 1–2 years industry experience as a Data Scientist, • Strong academics (Russell Group or equivalent, STEM degree), • Experience building ML models in Python and SQL, • Background in customer prediction (pricing, forecasting, segmentation) or credit risk, • Curious, high-energy problem solver with strong ownership mindset Key Details • Salary: £60k–£65k base + equity, • No bonus, minimal benefits, • Working model: Hybrid (Tuesday–Thursday in office, non-negotiable), • Tech stack: Python, SQL, applied ML, • Visa sponsorship: Not currently offered Interested? Please apply below.

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.

Senior Data Scientist (Biostatistics) London, UK (Hybrid – 2–3 days per week) Up to £80,000 + Benefits The Opportunity We are seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. You'll work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities • Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies, • Design and develop scalable R-based modelling workflows and packages, • Implement best practices for testing, documentation, version control, and CI/CD, • Support the deployment of statistical models into production environments, • Ensure analytical solutions are reproducible, maintainable, and performant, • Provide technical guidance and mentoring on statistical and engineering best practices, • Translate complex statistical concepts into practical business and technical solutions Skills & Experience Essential • Strong statistical background, ideally within Biostatistics, • Advanced R programming skills, including package development, • Experience with Git and collaborative development workflows, • Knowledge of CI/CD pipelines, automated testing, and software engineering best practices, • Strong understanding of reproducible research and statistical modelling standards, • Excellent communication and stakeholder management skills Desirable • Experience designing and scaling R-based modelling platforms, • Exposure to deploying analytical models into production environments, • Experience with Databricks or similar cloud data platforms, • API development or integration experience Why Apply? This is an opportunity to work on high-impact projects within the life sciences sector, helping organisations bridge the gap between advanced statistical science and modern cloud-based engineering. You'll join a collaborative environment where technical excellence, innovation, and professional growth are highly valued.

The future of healthcare will not be built on symptoms. It will be built on sequences. At Phenome Longevity, we are building the world's first fully integrated longevity ecosystem. Genomics. Multi-omics. AI. Wearables. Clinics. Labs. All connected to help people live longer, better lives. We are looking for a full-time, on-site Legal Counsel based in London who sees this moment for what it is: the most exciting time in the history of medicine to be a lawyer. Someone who wants to help write the rules of a field that is still being invented. What you will do Legal Advisory. Be the trusted legal partner to our founders, clinical, commercial, and technology teams. Translate complex legal questions into clear, commercial decisions. Data & Privacy. Own our global approach to health data and genomic privacy. UK GDPR, international data transfers, and the frameworks that govern the most sensitive data a human has. Commercial. Draft, negotiate, and structure agreements with labs, clinics, scientific partners, technology vendors, and distribution partners across multiple jurisdictions. Regulatory. Partner with leadership on MHRA, CQC, and healthcare regulatory strategy as we launch and scale new services. AI & Technology. Shape how we responsibly deploy AI, software, and digital health tools in a regulated environment. IP & Corporate. Protect the science and the company. Support corporate governance, financings, and strategic transactions as we grow. Who you are • Qualified solicitor (England & Wales) or equivalent, with an active practising certificate, • 2 to 3 years of post-qualification experience in a leading law firm or in-house team, • Exposure to health, life sciences, biotech, or technology law, • Strong grounding in commercial contracts and data protection (UK GDPR, DPA 2018), • Comfortable moving fast, making judgement calls, and operating without a playbook, • Sharp commercial instincts and calm under pressure What will set you apart Genuine obsession with the science. We want someone who reads about CRISPR on the weekend, gets excited by longevity research, and sees law not as a barrier but as a tool to responsibly unlock what science can do. You do not need to be a scientist. You do need to care. Why Phenome Longevity You will not be reviewing contracts in isolation. You will sit at the centre of a company building labs, clinics, software, and science into one platform, and your work will shape how millions of people eventually access personalised health. You will have direct access to founders, clinical leaders, and the science itself.

Active SC Clearance is required Our client, a growing tech organisation, urgently require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: • Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.), • Experienced within AWS-based infrastructure and services, • Excellent communication skills, able to work with customers to shape requirements, • Hold active SC clearance Within this role, you will be responsible for: • Write high-quality Python code to develop data analytics and data science applications, • Design, build, and maintain scalable, production-ready data engineering pipelines, • Utilise AWS-based infrastructure and services to deploy and manage data workflows, • Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems, • Creative visualisation techniques to design impactful, intuitive data visuals and dashboards, • Adhere to strict coding quality standards and collaborate effectively as part of an agile software development team, • Engage with cross-functional, multi-disciplinary teams to meet user needs and facilitate collaborative project discussions This represents an excellent opportunity to work on high-impact projects critical to National Security, with a company offering a clearly defined path for progression.

Data Science Consultant (Customer Data & AI) 📍 London (Hybrid) 💰 Competitive Salary + Bonus + Excellent Benefits You must have full working rights to be considered for this opportunity. 🚀 Looking to take the next step in your Data Science consulting career? We're working with a leading global consultancy that is growing its Customer Data & AI practice. This is an exciting opportunity for a Data Scientist with around 2+ years of experience to work on cutting-edge projects across Generative AI, customer analytics, personalisation, and digital transformation. You'll help leading brands unlock the value of their customer data, delivering AI and data science solutions that drive better customer experiences and measurable commercial outcomes. What You'll Be Doing ✔ Designing, developing, and deploying Generative AI solutions for customer, marketing, CRM, and digital use cases ✔ Working with Large Language Models (LLMs) to build and evaluate AI-powered products and solutions ✔ Owning projects across the full data science lifecycle- from problem definition and solution design through to model development, deployment, testing, and business adoption ✔ Applying advanced analytics to customer behaviour, personalisation, marketing performance, and digital journey optimisation ✔ Building predictive, classification, forecasting, and recommendation models that drive commercial decision-making ✔ Collaborating with multidisciplinary teams and client stakeholders to solve complex business challenges ✔ Translating technical outputs into actionable business recommendations What We're Looking For ✔ Around 2+ years of commercial Data Science experience ✔ Strong Python programming skills ✔ Experience using GitHub and software engineering best practices ✔ Practical experience applying Generative AI and LLMs to real-world customer, marketing, digital, CRM, or commercial challenges ✔ Hands-on experience building, evaluating, and deploying Machine Learning models in production environments ✔ Proven end-to-end ownership of Data Science or GenAI projects -from identifying opportunities and shaping solutions through to model development, deployment, implementation, and value delivery ✔ Experience working with customer, marketing, CRM, web, digital, or product datasets ✔ Strong communication skills and an interest in client-facing consulting work Why Apply? 🌍 Work with globally recognised brands on high-impact AI and analytics projects 🤖 Gain exposure to cutting-edge GenAI, LLM, and customer data initiatives 📈 Accelerate your consulting career within a growing Data & AI practice 🤝 Join a collaborative team that values innovation, learning, and continuous development 📩 Interested? Apply now or get in touch for a confidential discussion.

🌍 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)

Location: Wandsworth, London, UK (Hybrid Working) Type: Full Time, Permanent Contract Working Hours: Monday to Thursday, 9:30 am - 6:00 pm, Friday 9:30 am - 5:00 pm (1-hour lunch break) Company Overview FAC Technology is a deep-tech company based in London. Founded in 2011, it specialises in the research and development of advanced materials for the aerospace, space, automotive and defence sectors. The company’s materials have best in class properties including: ultra-high toughness, fire resistance, high thermal conductivity, and being derived from sustainable ingredients. Further, the company has developed best-in-class drone systems that are based on proprietary advanced composite airframes. In addition to the success in the drone market, the company has developed adhesives for the next generation of electric vehicles, and potting compounds for satellites and spacecraft. The company retains close links with Imperial College London and Queen Mary University for the research, development and advancement of composite materials. Role Summary As FAC Technology’s growth accelerates, it is seeking a skilled Composites & Resins Scientist to facilitate the technical development of advanced materials, including resins, adhesives and potting compounds. You will work across all the range of product offerings available at the company, as well as pursuing speculative development opportunities for prospective advanced materials technologies. This is a heavily practical scientific role, with comprehensive laboratory skills and experience being essential in order to perform the technical development as well as use and maintain the various pieces of processing and measurement equipment available on site. Key Responsibilities • Lead the technical scientific development of advanced composite materials, • Engineer bespoke resin formulations according to customer requirements, performing structured iterative scientific research cycles on prototypes, • Work with the engineering team to concurrently develop and enhance composites processing technologies, • Use and maintain scientific processing and measuring equipment, • Collate and organise test data results, • Maintain an awareness of emerging technologies in the field, • Identify at a high level potential further materials development opportunities, • Work with partner organisations and universities to facilitate research and development, • Identify and progress applications for research grants to facilitate development Background & Experience • At least 4 years’ experience working in an advanced laboratory environment, • Experience with scientific equipment for materials characterisation, including rheology, DSC, DMTA and mechanical testing, • A scientific or technical engineering background, • Comprehensive knowledge of composites and resins (mainly epoxy thermosets), • Masters or PhD in material science, engineering or other relevant technical field, • Proven track record in scientific research and development, • Experience of applying for and securing scientific research grants or related funding, • Exposure to one or more of the following industries: Automotive (including Electric Vehicles), Aerospace, Space, Defence What We Offer • A competitive and negotiable remuneration package, including a base salary of £50,000 - £55,000 dependant on experience, • A hybrid working option to support work-life balance, • The opportunity to lead the commercial growth of a highly innovative, IP-rich product portfolio How to Apply If you wish to be considered for the role of Composites & Resins Scientist, please send a CV and covering letter via LinkedIn or to jobs@factechnology.com.

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

📌 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

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.

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.

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

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.

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

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

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.

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

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

📌 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 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!

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

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

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.

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.

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.

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

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

Collaborating with senior data scientists and engineers across multiple projects. Learn from experienced data scientists in a collaborative environment. If you're an early-career Data Scientist looking to develop your skills on meaningful work, apply now.

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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, C

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

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 he

London1 Day a Week In OfficeOutside IR35£400-£520 Per Day.They are a data-driven organisation with a strong focus on using analytics to inform commercial and customer-focused decisions.Data and decision sciences play a central role across multiple functions, with close collaboration between analyt

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, Cl

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Machine Learning and AI frameworks.

You will play a key role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. This is an excellent opportunity to contribute to a data-driven transformation programme within a secure environment, working alongside experienced data, e

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About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. 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This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.Please submit your resume in English and indicate your level of English proficiency.We believe in using the power of collective intelligence to ethically shape the futur