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Job Title: Data Scientist – Machine Learning | SaaS Client Location: UK-based (Hybrid – London) Employment Type: Full-time Experience Level: Mid to SeniorAbout the Opportunity:We're supporting a high-growth SaaS company that operates in a data-intensive, real-time environment. Their platform addresses challenges in digital integrity and performance, helping clients make smarter, cleaner decisions with their online activity.As they continue scaling, they’re looking to hire a Data Scientist with strong machine learning expertise to develop systems that detect anomalous behaviours and patterns across vast streams of traffic data. This is a highly impactful role for someone who enjoys applying ML in fast-moving, production-grade settings.Key Responsibilities:Build and deploy scalable ML models for identifying unwanted traffic behaviourPrototype new approaches to adapt to evolving signals and threat vectorsMonitor, evaluate and improve model performance over time (drift, latency, etc.)Work closely with engineering and product teams to integrate data science into core product featuresContribute to a collaborative team culture focused on technical excellence and real-world resultsStay informed on new techniques and research relevant to detection, classification and real-time ML systemsIdeal Background:Hands-on experience building and maintaining machine learning models in productionStrong skills in Python, SQL, and modern cloud environments (AWS preferred)Experience with services like SageMaker, Lambda, or real-time processing toolsUnderstanding of MLOps, versioning, and model monitoring best practicesPractical mindset with the ability to balance technical depth with speed of deliveryBonus: exposure to large-scale digital data environments, classification problems, or anomaly detectionWhy This Role?Work at the intersection of real-time data, machine learning, and product innovationJoin a lean and collaborative team where data science is central to decision-makingFlexible working culture and strong emphasis on autonomy and ownershipCompetitive compensation, benefits, and career progression opportunities