Senior Data Scientist

Responsibilities:

• Lead AIML (including GenAI and Graph-ML) solutions development, prioritizing areas for exploration and improvement, and reviewing in-development models for quality as they are being trained.

• Prioritize AI features, models, and controls, engaging with product leaders and serving as AIML subject matter expert to drive tangible business outcomes

• Design and manage the model quality process, including both automated pipelines and manual review.

• Evaluate new technologies including vendor solutions to drive best practices in incorporating third-party technologies in a responsible manner

• Industry and Academic Awareness: Stay up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our AIML strategy.

• Business partner alignment: Work closely with business partners, external partners, and other cross functional teams to align on AIML requirements and show sense of urgency in delivering insights.

• Technical Implementation: Translate research findings into practical solutions, exploring novel techniques, algorithms, and approaches that can be applied to real-world challenges. developing and optimizing AIML models and systems for real-world applications.

• Effective Communication: Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders, fostering a culture of knowledge sharing and learning.

• Participate in special projects as required.

Qualifications

• MS/Ph.D. in Computer Science, Machine Learning, Operations Research, or a related field

• 3+ years of NLP implementation experience in the industry including experience building, scaling, and optimizing training and inferencing APIs for deep neural networks

• 5+ years of coding experience in languages such as Python, PySpark,

• Strong exposure to open source/commercial LLM’s through technologies such as Hugging Face, OpenAI, etc..

• Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.

• A deep understanding of the GenAI landscape, including recent advancements and emerging trends including the responsible use of GenAI models

• Experience working in cross-functional teams and a track record of balancing technical decisions with business objectives.

Preferred Qualifications:

• Client facing/consulting experience

• Experience in IT

• Contributions to AI/ML community through publications, open source contributions, articles, etc..

Special Factors

Sponsorship

Vanguard is not 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.

Our commitment to diversity, equity, and inclusion

Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.

Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.

Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.    

Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.

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.