Summer Internship 2026 - Data Governance

Job Description:

Income Insurance is undergoing a strategic transformation across its business and technology landscape. As part of this ambitions journey, Income is looking at building its data capability across the organisation. This included focus areas such as changing organisation culture around data, increasing the usage of data in decision making and enabling advanced concepts like ecosystem partnering, AI and ML based risk management and personalisation.
Over the years, Income has built a strong Data and Analytics team. We are now looking for passionate students who would like to be part of the team. This will be an ideal opportunity for students to pick-up in-depth skills and knowledge in the Insurance industry via on-the-job learning. You will work day-to-day with experienced domain experts in data governance and data management on exciting projects which deliver real values to Income's business. You will also get the opportunity to work alongside data scientists, data engineers as well as Business Intelligence experts, who form part of the wider Data and Analytics team
KEY RESPONSIBILITIES INCLUDE
* Work with data stewards to capture key business terms and definitions
* Work with data stewards to define and implement data quality rules
* Work with technical stewards to capture the logical data model as well as physical metadata
* Work with data scientists to ensure AI models built meet ethical AI and FEAT standards
* Support functional business analysts in performing data analysis and root cause analysis
* Monitor and report on data governance artefacts and data quality issues
REQUIREMENTS
* A bachelor's degree in computer science, information technology or an equivalent field
* Good communication skills, both written and verbal
* Critical thinking and strong problem-solving ability
* Proficiency in SQL, Python and Tableau preferred
* Experience with data analysis or data governance tools preferred
* Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 preferred