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 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 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 in Python, SQL, and modern cloud environments (AWS preferred)
- Experience with services like SageMaker, Lambda, or real-time processing tools
- Understanding of MLOps, 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
- Company
- Creo Recruitment
- Location
- City of London, Greater London, UK
Hybrid / WFH Options - Posted
- Company
- Creo Recruitment
- Location
- City of London, Greater London, UK
Hybrid / WFH Options - Posted