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 II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Responsibilities
- Perform sophisticated data analytics to provide actionable insights that improve business outcomes and minimize risk
- Consult with business leaders on leveraging analytics insights
- Independently perform sophisticated data analytics in various environments using structured and unstructured data
- Produce compelling data visualizations
- Take accountability and ownership of data science solution design, technical delivery, and measurable business outcome
- Engage in stakeholder meetings to identify business objectives and scope solution requirements
- Write, document, and deploy custom code in various environments (Python, SAS, R)
- Use and maintain Truist internal code repositories
- Research and advocate adoption of emerging methods and technologies in data science
- Foster risk management culture throughout design, development, and deployment practices
Requirements
- Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
- Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
- Familiarity with linear algebra concepts for optimization
- Working knowledge of calculus/differential equations, with understanding of stochastic processes
- Strong familiarity with data extraction in environments (SQL, JQuery, etc.)
- Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
- Experience in managing multiple projects with tight deadlines in a collaborative environment
Benefits
- Medical, dental, vision, life insurance, disability, accidental death and dismemberment
- Tax-preferred savings accounts
- 401k plan
- No less than 10 days of vacation in first year
- 10 sick days
- Paid holidays
- Specific benefits may vary based on position and division
Job title
Job type
Experience level
Salary
Not specified
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.