Overview A Senior Data Scientist is needed to transform billions of data points into high-impact insights, improving how millions experience digital security. If you're an experienced Data Scientist looking to move beyond experimentation into genuine impact, this is your chance to shape ML models that directly power a global product suite combating fraud and digital threats. In this role, you’ll do more than build models; you’ll own the entire value chain, from data engineering and analysis to production-grade deployment. You’ll influence how advanced analytics shapes customer experience and business performance on a global scale. What You’ll Be Doing

Designing and deploying machine learning models for real-world impact. Driving analysis and delivering insights that support senior decision-making. Creating dashboards, visualisations, and anomaly detection systems that scale. Owning your outputs end-to-end: infrastructure, engineering, modelling, and optimisation. Advising on best practices in Data Science, contributing to a high-performing, collaborative team.

What You’ll Bring

6+ years' experience in Data Science, ideally within a software or SaaS context. Strong Python skills, including libraries for ML, data science, and automation. Fluency in SQL and experience with cloud-based infrastructure (Azure preferred). Hands-on experience with Data Warehousing or Data Lakes. Visualisation tool proficiency (PowerBI or Tableau). Financial fraud detection experience would be a strong advantage. A Ph.D. or Master’s in a quantitative field is preferred.

What’s On Offer

Competitive base salary with generous benefits. Global remote-first working culture. Backing from an innovative, growth-focused leadership team.

This role is ideal for someone who is deeply technical but commercially savvy, able to think critically, work independently, and communicate persuasively with senior stakeholders. If you want your models in production, not in a drawer, this is a role for you. #J-18808-Ljbffr