Data Scientist

The Data Scientist is responsible for developing analytical and machine-learning solutions that support decision-making across customer, commercial, supply chain, store operations, loss and corporate domains.

The role works with business stakeholders, product teams, data engineers and AI/ML engineers to translate business problems into measurable analytical outcomes. It covers data exploration, statistical analysis, feature development, predictive modelling, experimentation, model evaluation and ongoing performance monitoring.

The role is expected to deliver practical, explainable and production-ready analytical solutions rather than standalone research or proof-of-concept models.

Key Responsibilities

Data Science and Modelling

• 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.

Experimentation and Measurement

• 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.

Productionisation and Model Lifecycle

• 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.

Stakeholder Collaboration

• 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.

Required Skills and Experience

• 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

Desirable Skills

• Exposure to MLflow, feature stores, model registries or MLOps practices.
• Experience with Power BI, MicroStrategy or comparable visualisation platforms.
• Knowledge of retail, customer, commercial, pricing, promotion, supply chain or store operations.
• Experience with causal inference, optimisation, operations research or econometrics.
• Exposure to generative AI, natural-language processing or computer vision.
• Experience working in Agile product teams.

Key Deliverables and Success Measures

• Accurate, explainable and commercially relevant analytical models.
• Measurable improvement in agreed business or operational outcomes.
• Models successfully transitioned into production and operational use.
• Robust experimentation and model-evaluation evidence.
• Effective monitoring of model accuracy, drift and business performance.
• Reusable code, documented assumptions and traceable analytical outputs.
• Positive engagement with product, engineering and business stakeholders.

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Benefits of working at Accenture:

·       18 weeks paid parental leave

·       Long & short-term career break opportunities

·       Structured career development program

·       Local and international career opportunities.

·       Certified as a Family Inclusive Workplace™

·       Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.

·       We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!

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All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career. 

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About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com 

Equal Employment Opportunity Statement for Australia:

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. 

As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.

  We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.

Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement