The roleYou're a data scientist with broad analytical and ML experience as well as production LLM expertise. You'll own the full spectrum of data science work at Qogita — from classical modelling and forecasting through to LLM-powered features — and act as the team's go-to on language model architecture, evaluation, and deployment. You'll take end-to-end ownership of complex ML systems and pipelines that are business-critical: designing them, shipping them, and keeping them healthy in production. The Data Science team works cross-functionally with Product, Engineering, and Commercial teams to build the intelligence layer that drives Qogita's marketplace.What You'll DoBuild and deliver data science solutions across the stack — predictive models, ranking systems, demand forecasting, and LLM-powered features — depending on where the business need is greatestTake ownership of business-critical ML systems end-to-end: from problem framing and model design through to deployment, monitoring, and ongoing maintenance in production environmentsAct as the team's domain expert on LLMs: advise on model selection, architecture decisions, prompt engineering, fine-tuning, and evaluationDesign and implement RAG architectures and evaluation frameworks where language models are the right tool for the problemApply classical ML and statistical modelling to structured business problems — pricing signals, supplier matching, catalogue enrichment — with rigorous attention to measurement and validationTranslate ambiguous business problems into tractable ML problems with clear success criteria, working closely with Product and Commercial stakeholdersCollaborate with Engineers to ship models via reproducible MLOps workflows — experiment tracking, model serving, alerting, and production monitoring — with a high bar for reliability and observabilityCommunicate model choices, limitations, and trade-offs clearly to non-technical stakeholders including Product and commercial leadershipWhat You'll Bring3+ years working as a data scientist or applied ML engineer, with meaningful exposure across both classical ML and deep learningA track record of owning ML systems in production — not just building models, but maintaining, monitoring, and iterating on them as live business-critical infrastructureDemonstrable LLM expertise — hands-on experience building and evaluating LLM-powered systems in a production or near-production environmentSolid grounding in ML fundamentals: statistics, probability, supervised and unsupervised learningPractical experience with transformer architectures and the major model families (GPT, Claude, Llama, Mistral), including RAG pipeline design and vector database usageStrong Python and SQL, with experience using LangChain, XGBoost, PyTorch, Hugging Face Transformers (or similar frameworks), MLOps tooling (experiment tracking, model serving, monitoring), and experience of orchestration for ETL pipelines (Airflow)Experience with cloud ML services on AWS, GCP, or Azure, including deploying and operating models in distributed environmentsAble to communicate uncertainty and model limitations clearly to both engineers and non-technical stakeholdersPerks & BenefitsBase salary: €60,000 – €75,000 (Amsterdam) / £72,000 – £90,000 (London) depending on experience26 days of annual leave, plus 4 additional personal daysCompany performance-based bonusAttractive equity packagePension contributionsAnnual learning & development budgetOffice-led culture with hybrid flexibilityDog-friendly officesHome-office setup packageOffice socials and annual company-wide offsiteWho we areQogita [Ko-gi-ta] is revolutionizing wholesale procurement. We provide a one-stop shop for branded products, available in a single click at competitive prices. Our vision is to build the world's leading global wholesale trading hub, empowering efficient distribution of goods. We didn't just improve wholesale — we reinvented it.We're one of the fastest-growing B2B companies globally, backed by top investors behind companies like Facebook, Etsy, and Shopify.Our tight-knit, highly motivated team thrives on curiosity and impact. Everyone contributes hands-on, takes initiative, and drives results. We value a strong work ethic, smart prioritization, and a relentless focus on excellence.

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Data Scientist (LLM)