Data Scientist

Job Title:Data Scientist – Machine Learning | SaaS Client

Location:UK-based (Hybrid – London)

Employment Type:Full-time

Experience Level:Mid to Senior

About 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 aData Scientistwith 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 behaviour
• Prototype new approaches to adapt to evolving signals and threat vectors
• Monitor, evaluate and improve model performance over time (drift, latency, etc.)
• Work closely with engineering and product teams to integrate data science into core product features
• Contribute to a collaborative team culture focused on technical excellence and real-world results
• Stay informed on new techniques and research relevant to detection, classification and real-time ML systems

Ideal Background:

• Hands-on experience building and maintaining machine learning models in production
• Strong skills inPython,SQL, and moderncloud environments(AWS preferred)
• Experience with services likeSageMaker,Lambda, or real-time processing tools
• Understanding ofMLOps, versioning, and model monitoring best practices
• Practical mindset with the ability to balance technical depth with speed of delivery
• Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection

Why This Role?

• Work at the intersection of real-time data, machine learning, and product innovation
• Join a lean and collaborative team where data science is central to decision-making
• Flexible working culture and strong emphasis on autonomy and ownership
• Competitive compensation, benefits, and career progression opportunities