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.
About the role
- Senior Data Scientist leading data-driven business decision making through advanced analytics. Mentoring junior data scientists while driving innovation across diverse business functions at Vanguard.
Responsibilities
- Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling
- Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making
- Mentors and develops junior data scientists and analysts
- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses
- Brings structure to requests and translates requirements into an analytic approach
- Guides test design, research design, and model validation
- Provides statistical consultation services
- Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community
- Prepares and delivers insight presentations and action recommendations
- Communicates complex analytical findings and implications to business leaders
- Participates in special projects and performs other duties as assigned
- Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets
- Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations
- Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory
Requirements
- Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
- Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
- Expertise in programming with Python, R, or SQL
- Hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow)
- Strong understanding of data pipelines, data wrangling, and statistical techniques
- Experience in big data environments (Spark/Hadoop)
- Familiarity with visualization tools like Tableau or Power BI
Benefits
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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