Job Description

As a Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist, you will work with a highly innovative and vibrant team of Data Scientists, machine learning engineers, and data engineers in developing the next generation AI/ML enabled business solutions for Vanguard. You will apply your analytics, artificial intelligence, and machine learning knowledge to create next generation solutions for our business partners in corporate services area, including risk, financial fraud, legal, finance, and IT areas, to drive ground-breaking changes. With great freedom to innovate, you will play a key role in world-class research that will drive the future of Vanguard's artificial intelligence and machine learning. You will make a difference by leading and innovating new AI based systems and services that power our corporate Daily business units. You will team up with business partners Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.

Responsibilities:

Leads the execution of large scale, more complex analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. 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 senior leadership 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.

Qualifications:

Minimum of eight years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required. AI/ML Development and Modeling, Python, NLP, LLM, AWS, A/B Testing, analytic problem-solving skills and Chat Bot experience preferred Predictive modeling for sales and distribution (XGBoost, tree based methods, multi-armed bandit, decision engines) Problem solving including analytical and statistical methods Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

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.