Associate Director of Machine Learning and Data Science

Summary

Join GWI as an Associate Director of Machine Learning and Data Science and lead two key teams driving strategic innovation. The ML Automations team focuses on building end-to-end machine learning systems, while the ML Experimentation team leverages AI to enhance data collection and survey design. This role requires proven leadership skills, a strong track record in defining and delivering ML roadmaps, and hands-on experience with ML pipelines. You will communicate technical concepts to both technical and non-technical stakeholders. GWI offers a dynamic, fast-paced environment with significant opportunities for growth and impact. The company values innovation, collaboration, and respect.

Requirements

• Proven ability to lead, mentor, and grow high-performing teams of data scientists and ML engineers
• Strong track record of defining and delivering ML roadmaps that align with strategic goals
• Hands-on experience with building and deploying ML pipelines in production environments
• A deep understanding of how to apply AI/ML to improve research design, data quality, and operational workflows
• The ability to communicate technical concepts and strategy to both technical and non-technical stakeholders, including senior leadership

Responsibilities

• Lead two teams that are central to GWI’s strategic innovation efforts
• The ML Automations team builds end-to-end machine learning systems that streamline and enhance key research workflows
• The ML Experimentation team applies AI and experimental methods to elevate our data collection, refine survey design, and assess the value and integrity of our insights

Benefits

• 25 days annual leave
• End-of-year office closures
• Flexitime
• Early Friday finishes
• Work-from-anywhere options
• Work from home' budget
• Carer days
• Enhanced parental leave
• Private insurance for you and your your family
• Accredited learning programs
• A commitment to mental and physical health
• Reward and recognition programs
• Career development opportunities
• DE&I committee
• Volunteer options
• 100% donation matching
• Payroll giving options
• Generous training budget, including a fully paid international conference each year for Engineering and Data Science roles
• Mobile phone contract and restaurant ticket options
• Private health insurance plan