Driving the technical future of machine learning at Storio.
Help use data and AI to give customers proactive, automated, and hyper-personalised experiences.
Set the technical direction for how to adopt ML across the business in a decentralised way.
Requirements
Five plus years of expertise as a Data Scientist or ML Engineer.
Proven experience deploying ML models in production on modern MLOps platforms.
Experience setting standards, coaching data scientists, and influencing without direct authority.
Demonstrable success with value-delivering marketing ML use cases like churn, upsell, and pricing.
A solid understanding of statistical concepts and their application in a corporate setting.
Experience with causal inference in marketing or non-randomised settings.
Evidence of using software engineering best practices in ML modelling.
Experience with operations ML use cases like anomaly detection.
A degree in a STEM field like Computer Science or Mathematics.
Experience delivering Generative AI use cases in a production environment.
Benefits
Equal Opportunities & Right to Work
Celebrating diversity
Fostering an inclusive environment
Reasonable adjustments for disabilities during interviews
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningMLOpsstatistical conceptscausal inferencesoftware engineering best practicesGenerative AIanomaly detectiondata scienceML modelingmarketing ML use cases
Soft skills
coachinginfluencing without direct authoritysetting standards