Data Scientist: ML & Growth Analytics

Mane; Canberra; On-site; AUD 90,000 - 150,000; Full time

Job summary

Mane Consulting specializes in Data & Analytics and is seeking a Data Scientist to drive internal analytics across the business. You will lead investigations from initial explorations to long-term studies, collaborating with colleagues to unlock opportunities and solve pressing business questions.

The role emphasizes building robust models, translating analytics into actionable insights, and communicating findings to both technical and non-technical audiences.

Qualifications

• Expertise in statistical modeling and machine learning software (Python, R, etc.).
• Advanced SQL skills.
• Familiarity with Gen AI technologies and staying current with industry advances.
• Comfort with common applied ML strategies and ensemble methods.
• Storytelling with data and ability to present analytics visually (Tableau/Power BI).
• Strong written and verbal communication skills for presenting to audiences.

Responsibilities

• Regular monitoring and analysing the performance of products at macro, rating factor and agent levels to identify opportunities for profitable growth.
• Statistical or machine learning modelling to optimise business areas.
• Train, validate, and fine-tune models using large datasets, ensuring high accuracy and scalability.
• Implement scalable solutions that can handle large data volumes and adapt to changing requirements.
• Continual improvement and monitoring of existing models.

Skills

Statistical modeling

Machine learning

Data storytelling

Communication skills

Education

Bachelor’s degree or higher in Economics/Statistics/Mathematics/OR related

Tools

Python

R

SQL

Job description

Mane Consulting specializes in Data & Analytics and is seeking a Data Scientist to drive internal analytics across the business. You will lead investigations from initial explorations to long-term studies, collaborating with colleagues to unlock opportunities and solve pressing business questions.

The role emphasizes building robust models, translating analytics into actionable insights, and communicating findings to both technical and non-technical audiences.