Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.
Responsibilities
- Design, develop, test, and deploy scalable, production‑ready code and machine learning models
- Transform large, complex datasets into actionable insights, recommendations, and data‑driven decisions
- Develop innovative approaches to pattern recognition using machine learning, statistical, and analytical techniques
- Communicate insights and model outcomes clearly to both technical and non‑technical audiences
Requirements
- MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD preferred)
- 2+ years of experience across the end‑to‑end model development lifecycle, working with large and complex datasets (industry or academic/post‑doctoral experience considered)
- 2+ years of experience programming in Python
- proficiency in SQL and Git
- experience productionizing machine learning models
- familiarity with data warehouse concepts, ETL strategies and data engineering best practices.
Benefits
- Compelling rewards package including base compensation
- eligibility for annual bonus
- retirement savings
- health benefits
- personal wellness
- volunteer opportunities
- competitive vacation package with the option to purchase 5 extra days off per year
- corporate wellness programs to support our employees’ physical and mental health.
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