Data Scientist — Production‑Ready Analytics & Impact

Accenture; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Parental leave

Career development

International career opportunities

Flexible work arrangements

Job summary

Accenture is seeking a Data Scientist to translate business problems into measurable analytical outcomes and to develop production-ready models addressing customer, commercial, supply chain and operations domains. You will partner with business stakeholders, product teams and engineers to deliver scalable analytics, data exploration, feature engineering and model evaluation.

The role emphasizes explainability, governance and measurable impact.

Qualifications

• Experience delivering data-science or advanced-analytics solutions in an enterprise environment.
• Experience with Snowflake, Databricks or comparable cloud data platforms.
• Experience with Azure-based data and machine-learning services.
• Strong Python skills, including experience with pandas, NumPy, scikit-learn or equivalent libraries.
• Strong SQL capability and experience working with large analytical datasets.
• Practical knowledge of statistical modelling, machine learning and experimental design.
• Experience developing models such as: Classification and regression; Time-series forecasting; Segmentation and clustering; Recommendation or propensity models; Optimisation or scenario models.
• Experience with data preparation, feature engineering and model evaluation.
• Ability to translate analytical outputs into business recommendations.
• Experience using Git and collaborative software-development practices.
• Strong communication, documentation and stakeholder-management skills.
• Tertiary qualification in data science, statistics, mathematics, computer science, engineering, econometrics or a related discipline

Responsibilities

• Translate business problems into clearly defined analytical hypotheses and modelling approaches.
• Explore and analyse large structured and semi-structured datasets.
• Develop predictive, classification, forecasting, optimisation and segmentation models.
• Undertake feature selection, feature engineering and model experimentation.
• Evaluate models using appropriate statistical and commercial performance measures.
• Compare model approaches and document assumptions, limitations and trade-offs.
• Develop interpretable outputs that support business decision-making.
• Contribute to recommendation, pricing, promotion, demand, customer and operational analytics use cases.
• Design and analyse experiments, including A/B tests and controlled trials.
• Establish appropriate control groups, success measures and evaluation criteria.
• Assess model and initiative performance against agreed business outcomes.
• Support causal analysis, incrementality measurement and scenario modelling.
• Communicate statistical confidence, uncertainty and limitations clearly.
• Work with AI/ML engineers and data engineers to productionise models.
• Develop reusable and maintainable Python and SQL code.
• Support model deployment, validation, monitoring and retraining processes.
• Monitor model accuracy, drift, bias and business performance.
• Maintain model documentation, feature definitions and evaluation evidence.
• Contribute to model governance, approval and risk-management activities.
• Investigate model-performance issues and recommend corrective actions.
• Work with product owners and business stakeholders to define analytical requirements.
• Explain complex modelling outcomes in clear business language.
• Present insights, recommendations and commercial implications.
• Work within cross-functional product and engineering teams.
• Support prioritisation of analytical opportunities based on value, feasibility and data readiness.

Skills

Snowflake

Databricks

Azure

Python

SQL

Statistical modelling

Experiment design

Communicate insights

Git

Education

Tertiary qualification in data science/statistics/computer science/engineering/econometrics

Tools

Databricks

Snowflake

Azure

Git

Job description

Accenture is seeking a Data Scientist to translate business problems into measurable analytical outcomes and to develop production-ready models addressing customer, commercial, supply chain and operations domains. You will partner with business stakeholders, product teams and engineers to deliver scalable analytics, data exploration, feature engineering and model evaluation.

The role emphasizes explainability, governance and measurable impact.