Lead Data Scientist

• Posted 2 days ago • Updated 2 days ago
Full Time
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Decision-making
  • Data Quality
  • Management
  • Unsupervised Learning
  • Natural Language Processing
  • Time Series
  • Optimization
  • Prompt Engineering
  • Performance Monitoring
  • Presentations
  • Data Science
  • Analytics
  • Python
  • SQL
  • Data Wrangling
  • Modeling
  • Statistical Models
  • Machine Learning (ML)
  • Analytical Skill
  • Generative Artificial Intelligence (AI)
  • Vector Databases
  • Orchestration
  • Cloud Computing
  • Artificial Intelligence
  • Finance
  • Collaboration

Summary

{"description": " Key Responsibilities

  • Develops complex queries and performs extensive programming to access, transform, and prepare large scale data for statistical modeling and AI applications.

  • Leads diagnostic, predictive, and prescriptive analytics initiatives to support strategic and operational decision-making .

  • Identifies data inconsistencies, documents assumptions, and addresses data quality gaps to ensure reliable model outcomes.

  • Designs, trains, evaluates , and deploys machine learning and AI models (e.g., supervised/unsupervised learning, NLP, time series, optimization).

  • Apply generative AI techniques (e.g., LLMs, embeddings, prompt engineering, agents) to enable automation, insight generation, and intelligent user experiences.

  • Guides model validation, performance monitoring, explainability, and responsible AI practices.

  • Engages with business and technology stakeholders to understand problems, formulate hypotheses, and translate requirements into analytic and AI solutions.

  • Serves as an AI and analytics expert on cross functional initiatives, contributing to enterprise wide data and AI maturity.

  • Prepares and delivers clear, concise insight presentations and recommendations to technical and non technical audiences.

Qualifications

  • 7 + years of experience in data science, analytics, or related quantitative roles.

  • Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production ready solutions.

  • Hands on experience with statistical modeling and machine learning techniques.

  • Proven ability to translate complex analytical results into business insights.

  • Experience with generative AI, LLMs, vector databases, or AI orchestration frameworks.

  • Familiarity with cloud based data and AI platforms.

  • Experience working in regulated or large scale enterprise environments.

What Success Looks Like

  • AI solutions that measurably improve efficiency, insight quality, and decision speed.

  • Scalable, well governed models that are trusted by business partners.

  • Clear storytelling that connects AI outcomes to business value.

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.

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.", "salary_raw": "Row(double=None, string=None)"}
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24180489
  • Posted 2 days ago
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