Senior Data Scientist

About Vinarchy

Vinarchy, formed in 2025 through the merger of Accolade Wines and Pernod Ricard Winemakers, represents a unified global wine company spanning countries including Australia, New Zealand, Spain, Italy, South Africa, Chile, and the United States. With a presence on nearly every continent, Vinarchy manages the complete wine supply chain from grape cultivation to bottled products, featuring a portfolio that includes renowned brands such as Jacob’s Creek, Hardys, Campo Viejo, Grant Burge Wines, Stoneleigh, Jam Shed, Brancott Estate, Mud House, St Hugo, St Hallett and Petaluma. The company prides itself on innovation, ambition, and challenging industry norms to advance the future of wine.

Role Overview

The Senior Data Scientist, reporting to the Analytics Platforms Manager within Global IT, will be responsible for creating and supporting advanced analytics, machine learning models, and AI solutions that provide business intelligence, automation, forecasting, optimization, and strategic insights. This permanent, full-time role includes collaborating closely with business stakeholders, data engineers, and technical teams to deliver scalable, trustworthy data science products that impact operations across Australia, New Zealand, and globally.

Primary Responsibilities

• Collaborate with business units to comprehend data needs, priorities, and commercial objectives.
• Discover ways to enhance BI systems and propose cutting-edge analytics or AI-driven solutions.
• Design, develop, test, and implement advanced analytics models including machine learning, forecasting, optimization, and AI technologies.
• Create models addressing commercial, supply chain, finance, marketing, and operational challenges.
• Develop use cases involving Generative AI, Natural Language Processing (NLP), and AI-driven automation that add tangible business value.
• Coordinate with Data Engineers to ensure data pipelines and production environments are robust, scalable, and suitable for model deployment.
• Employ MLOps best practices including deployment, monitoring, governance, version control, and continuous refinement of models.
• Regularly assess performance, troubleshoot issues, and enhance models and analytical workflows using reusable data science patterns.

Candidate Profile

• At least 5 years’ professional experience in Data Science, Machine Learning, Advanced Analytics, or AI roles that have produced measurable business results.
• Proficient in Python, SQL, statistical modeling, machine learning algorithms, and data analytics methodologies.
• Strong track record of developing, validating, deploying, and maintaining machine learning models in live environments.
• Experience with forecasting, optimization, experimentation frameworks, NLP, Generative AI, Large Language Models (LLMs), prompt engineering, and AI-enabled automation.
• Familiarity with contemporary cloud and data platforms like Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, or comparable technologies.
• Excellent communication, stakeholder management, and problem-solving competencies.
• Demonstrated capability to lead projects and mentor junior colleagues.
• A tertiary qualification in Information Technology or a related field is preferred but not mandatory.

Additional Information and Benefits

• Employees receive an annual wine allowance along with access to exclusive wine discounts.
• Flexible work arrangements permitting up to two work-from-home days weekly.
• Paid parental leave provisions.
• Occasional early Friday finishes to begin weekends sooner.
• Modern office facilities located in Melbourne.
• Participation in community engagement initiatives such as "Go Beyond Day".
• Access to a comprehensive online learning repository to support personal development.
• Discounted private health insurance and annual flu vaccination programs.
• Employee assistance programs and a variety of exclusive staff discounts.

Work Conditions and Expectations

• Some business travel may be necessary periodically.
• Occasional after-hours commitments to coordinate with international stakeholders across different time zones.
• The role operates on a hybrid schedule requiring at least three days per week in the Melbourne office.

Company Values

• Foster growth together.
• Uphold integrity in every aspect.
• Take responsibility for our impact.
• Streamline processes to amplify results.

Diversity and Hiring Process

The organization emphasizes cultivating a diverse, dynamic, and inclusive environment. Prospective hires must demonstrate legal eligibility to work and will undergo pre-employment screening to verify credentials and suitability.