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