Principal Data Scientist

As a Principal Data Scientist in Computer Science, Software Engineering, the work centres on driving Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform. It would suit someone who can bring strong professional approach to the role.

Where ownership sits

Expertise with Big Data, Data Science, or Stream Processing techniques. Make a real difference with your engineering and analytical skills.

What the role carries

Driving Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform. Mentor and Lead: Provide technical leadership through architectural reviews and mentorship, fostering a culture of automation and continuous learning. Own the Lifecycle: Manage projects from design and development to deployment, monitoring, and post‑mortem analysis.

What helps the work land well

Strong professional approach.

What the role depends on

• 20+ years of relevant experience in data science, with a strong focus on predictive fraud analytics and large‑scale data applications.
• Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, or a related quantitative field (equivalent experience considered).
• Proficiency in a statistical/general programming language (e.g., Python, R, Scala), with extensive experience with relevant libraries and frameworks.