Full Stack Data Scientist London

founders, engineering, and GTM teams and be responsible for ensuring our data is accurate, reliable, real-time, and self-servable across the business.This is a high-ownership, high-velocity role. If you enjoy building things from scratch, moving quickly, and turning messy problems into automated systems, you’ll thrive.Key Responsibilities1. Own the full data pipelineBuild and maintain Python-based ETLs and API integrations into Redshift.Manage orchestration via GitHub Actions (currently no Airflow, no Fivetran).Ensure uptime, correctness, and monitoring across all pipelines.2. Build and maintain the full analytics layerBuild dbt models that are well-structured, documented, and agent-friendly.Maintain core business metrics, feature usage metrics, customer health signals, and financial KPIs.Create a clean, scalable semantic layer for LLMs to query reliably.3. Predictive analytics & MLShip lightweight but production-ready models: churn prediction, usage-based forecasting, anomaly detection

change, priorities will most likely shiftBe prepared to sacrifice your work-life balance in exchange for joining anincredible journey and learning a lot along the way.Requirements:Strong academic background.4+ years experience across full-stack data: ETL, modeling, analytics, predictive work.Strong Python (for ETLs + analysis).Strong SQL and dbt experience.Experience building from scratch at a startup (or a strong desire to).Comfortable using AI coding tools daily.Ability to handle ambiguity, tight timelines, shifting priorities.Excellent communication. You must be able to explain what’s happening in the business clearly and quickly.Nice to HaveExperience with Redshift, GitHub Actions, AWS.Experience in building anomaly detection or metric monitoring systems.Experience working with LLMs or designing data layers for agents.What We Offer:You will be working directly with the founders, who have two successful venture-backed exits under their belt.Competitive salary + equity.Performance-based incentives.Opportunity to be instrumental in our expansion into the APAC market.Supportive and innovative work environment.To conclude, we’re building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission. If you match this description, buy into that mission and you’re at a career stage where you’re ready to make your defining statement to the world, #J-18808-Ljbffr

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million.Job Description:This is not a standard BI or analytics role. You will own the entire data stack end-to-end: pipelines, models, analytics, monitoring, predictive insights, and the internal data products that power how the company operates.You’ll build ETLs, productionise models, develop AI-friendly data structures, and ship insights that help us make product, customer, and operational decisions fast. You’ll work directly with