To seek out opportunities to create commercial value from data, through the application of data science, artificial intelligence (AI) and machine learning (ML). To drive the Data Culture in the organisation and promote the embedding of Data-Driven Decision-Making. To lead, enhance and mature the Data Science practise by defining the direction, structure, processes and standards for Data Science across the organisation, so that every department and digital capability that relies on data science can benefit from the full potential it, including AI and ML. To drive and oversee the establishment of an enabling Data Governance framework within the organisation covering the elements of strategy, ownership, curatorship, policies, processes, and data quality – with the intention to effectively democratise data for use by the business and power data-driven decision-making.

Qualification

• Min QualificationMaster’s Degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.

Experience

• Min Experience10-15 years' relevant experience in data/analytics.

Skills

• Formulate Strategies and Concepts.
• Excellent knowledge of data science tools like python, SQL, SAS and AI/ML environments.
• Deep understanding of fundamentals of probability and statistics.
• Big picture thinking - correctly diagnosing problems and productionising research.
• Excellent communication and collaboration skills to partner with business heads and Product Owners.

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