Intern at Visagio supporting data science and generative AI projects. Collaborating with multi - disciplinary teams to deliver data - driven solutions and insights.
About the role
- Senior Marketing Data Scientist driving data-led insights for campaign performance and growth. Joining Offshore Marketing Effectiveness team at Superloop, supporting marketing strategy and analytics.
Responsibilities
- Build and manage customer segmentation models to support targeted marketing and product strategies.
- Develop predictive models to forecast customer churn, conversion, and lifetime value.
- Conduct attribution modelling to understand marketing channel effectiveness.
- Design dashboards and data visualisations for marketing KPIs and ROI reporting.
- Support A/B testing, uplift modelling, and campaign measurement frameworks.
- Collaborate with stakeholders across Marketing, Product, and Data teams in Australia.
- Contribute to the evolution of AI-driven personalisation and lead scoring models.
- Identify opportunities to optimise media budget allocation through data.
Requirements
- Bachelor’s degree in statistics, mathematics, data science, computer science, or a related field.
- 5–10 years of experience in marketing analytics or data science, ideally for telco, B2C, or subscription-based businesses.
- Strong command of SQL, Python or R, and BI tools (e.g., Power BI, Tableau).
- Familiarity with Google Analytics, Adobe Journey Optimiser / Target or /CDP, or similar marketing platforms.
- Experience with predictive modelling, clustering, attribution models, and funnel analysis.
- Comfortable working in cross-border teams with clear communication and project ownership.
- Exposure to AI/ML, marketing automation, or personalisation technologies is a plus.
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Estágio em Ciência de Dados e IA Generativa na Visagio, promovendo soluções baseadas em dados e colaboração multidisciplinar.
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