Senior Manager in actuarial pricing and data science at QBE, driving Motor pricing strategy and analytics across markets. Collaborating with stakeholders to enhance decision - making through innovative data - led solutions.
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Hybrid Principal Associate, Data Scientist – Recommendation & Personalization Systems
Posted last month
About the role
- Data Scientist at Capital One leveraging machine learning technologies. Partnering with cross-functional teams to architect personalized recommendation engines and deliver data-driven solutions.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Requirements
- Currently has, or is in the process of obtaining one of the following: A Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field
- Master’s Degree in “STEM” field plus 3 years of experience in data analytics, or PhD in “STEM” field
- At least 1 year of experience working with AWS
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with machine learning
- At least 3 years’ experience with SQL
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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