AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
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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