Data Scientist
Role overview
This role performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making and applies advanced data science and big data mining techniques to uncover trends, inform strategic decisions, and drive innovation across various business domains.
Responsibilities
- check_circle Develops queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
- check_circle Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
- check_circle Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- check_circle 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.
- check_circle 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.
- check_circle Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business partners.
- check_circle Participates in special projects and performs other duties as assigned.
- check_circle Designs and develops data mining protocols and analytical models to identify trends and patterns in large-scale datasets.
- check_circle Applies emerging data science methodologies and statistical techniques to provide actionable insights across various business domains.
- check_circle Supports innovative research in analytics, contributing to the evolution of data-driven decision-making practices.
- check_circle Minimum 5 years of experience in data science, analytics, or statistical modeling roles
- check_circle Bachelor’s degree (B.E./B.Tech) in relevant fields such as Analytics, Applied Mathematics, Statistics, Computer Science, or a Master’s degree/Diploma in a related analytical discipline
- check_circle Proficiency in data wrangling and transformation using SQL, Python, or R; strong understanding of statistical modeling and machine learning techniques; experience with tools like Jupyter, SAS, or RStudio
- check_circle Hands-on experience in building data mining models, conducting trend analysis, and interpreting complex datasets to support strategic decisions
- check_circle Strong communication and visualization skills to translate analytical findings into actionable business insights
- check_circle Experience in cloud-based environments (AWS, Azure, or GCP) and using collaboration tools like JIRA, Confluence
- check_circle Knowledge of big data platforms and frameworks (Hadoop, Spark) is a plus
- check_circle Ability to work cross-functionally and apply analytics to domains such as marketing, operations, or research
About the company
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Tags & Focus Areas
About Vanguard
Client Experience Analytics (CxA) is looking for a talented Lead Data Analyst to join our team! Supporting the Institutional Investor Group, CxA aims to enhance financial well-being for all retirement participants through strategic insights and data-driven recommendations, continuously improving the institutional client experience and participant outcomes. This individual will be responsible for leading the analysis and reporting of participant behavior across the digital retirement experienc...