Data Scientist - Remote Analytics & AI Impact

Quantium; City of Melbourne; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote working up to 30 days/year

Global mobility opportunities

Job summary

Quantium seeks a Data Scientist to join the wiq team and deliver analytics that drive measurable value for Woolworths Group. You will translate business challenges into analytical solutions, work with stakeholders, and communicate insights clearly.

With 2+ years in data science, you will apply Python/R/SAS/SQL, statistical methods, and ML techniques while collaborating across Agile teams to grow commercial acumen and impact across retail analytics.

Qualifications

• 2+ years' experience in data science and analytics.
• Strong programming and querying skills in Python, R, SAS or SQL.
• Deep understanding of statistical methods and machine learning techniques.
• Strong stakeholder management and communication skills.
• Ability to translate complex analyses into business insights.
• Track record of delivering high-impact analytics solutions.
• Degree in Statistics, Mathematics, Computer Science, Engineering, or related field.

Responsibilities

• Design and deliver sophisticated analytics solutions that solve complex business problems.
• Deliver analytical workstreams from problem framing to solution implementation.
• Develop and maintain trusted relationships with key Woolworths stakeholders.
• Translate technical concepts and analytical insights into clear, actionable recommendations.
• Contribute to building team capabilities.
• Ensure high quality standards and best practices across deliverables.
• Deliver innovation in analytical approaches and methodologies.

Skills

Data science

Python/R/SAS/SQL

Statistics/ML

Stakeholder mgmt

Communication

Business insights

Analytics delivery

Education

Quantitative degree

Job description

Quantium seeks a Data Scientist to join the wiq team and deliver analytics that drive measurable value for Woolworths Group. You will translate business challenges into analytical solutions, work with stakeholders, and communicate insights clearly.

With 2+ years in data science, you will apply Python/R/SAS/SQL, statistical methods, and ML techniques while collaborating across Agile teams to grow commercial acumen and impact across retail analytics.