Role Summary

This role is focused on using data intelligence to drive strategic business insights and support decision-making at the executive level. The position requires an experienced data scientist adept in Salesforce, Seismic, Azure Cloud Computing Services(SQL, Azure Data Factory, Azure Databricks, Azure Data Lake, Power BI), and R, Python and SQL programming languages, with highly developed skills in analysing and visualising complex data. The individual will work independently as part of a team that uses agile methodology to work collaboratively with teams from Finance, Legal, HR, Pre-Contracts and ICT to process and model data in order to optimise business operations, improve decision making and enhance overall business outcomes. This role requires effective stakeholder management and the ability to present findings to senior leadership contributing to the organiszation’s objectives The role involves a commitment to safety, compliance, and fostering a culture of collaboration, continuous improvement, and innovation across teams.

Skills

o Ability to seamlessly traverse between strategic thinking and detailed analysis.

o Versatility to perform various roles such as Data Architect, Data Engineer, Data Scientist, Data Analyst, and Data Governance as needed.

o Strong commercial acumen and strategic understanding of business drivers.

o Collaborative team player with the ability to work independently. o Meticulous attention to detail and advanced problem-solving abilities.

o Proficient in both quantitative and qualitative data analysis. o Advanced skills in data visualization, programming, and presenting insights.

o Excellent understanding of key stakeholder drivers and goals o Well-developed negotiation, and influencing skills.

o Strong written and verbal communication skills.

o Resilience and adaptability in embracing change and pursuing excellence. o Deep interest in engineering construction, especially within Australasia.

Education and Qualifications

o Bachelor's or master's degree in engineering or actuarial science or statistics or mathematics or data science or computer science or related field from a globally recognised tertiary institution.

Experience

o 2+ years of experience as a Data Scientist in a corporate environment

o 2+ years of experience in CRM and Enablement platforms (preferably Salesforce and Seismic) o 2+ years of experience in Azure Analytics Architecture (SQL; Data Factory; Data Lake; Databricks, Power BI)

o 2+ years of experience coding in R, Python, SQL and using Power Query and DAX

o 2+ years of experience analysing and visualising data o Understanding of cloud services in Azure used for deploying AI models and handling data operations.

o Experienced in Gen-AI frameworks and libraries such as but not limited to Langchain, Llamaindex, Autogen, pandasAI