Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
About the role
- Data Scientist focusing on model risk management at Capital One, leveraging advanced technologies for data-driven decision-making. Collaborating with diverse teams on risk identification and mitigation strategies.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
- Leverage a broad stack of technologies — from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more — to reveal the insights hidden within huge volumes of multi-modal data
- Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models
- Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.
Requirements
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational or vector databases
Benefits
- Health insurance
- 401(k) matching
- Performance based incentive compensation
- Bonuses
- Comprehensive and competitive benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist responsible for analyzing complex data sets and developing methods to create actionable insights. Collaborate with engineering teams to improve data quality and deliver business value.
Senior Director driving product development in data science for TransUnion. Leading initiatives in AI and analytics for the Specialized Risk portfolio.
Data & Analytics Lead at AstraZeneca driving data - driven solutions in clinical product development. Leading teams and collaborating with stakeholders across global platforms.
Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.