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Currently undertaking a university degree with the opportunity to complete a placement year, or recently graduated.
Applications are welcomed from a broad range of disciplines. Relevant areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science or Analytics, Information Systems, Software Engineering, Mathematics, Statistics, Engineering, Economics, Business Analytics, Digital Business, Innovation or Technology Management.
Candidates from other academic disciplines are encouraged to apply where they can demonstrate relevant skills, experience or a strong interest in AI, technology and business problem-solving.
Demonstrated analytical thinking and problem-solving ability, with the confidence to bring structure to unfamiliar or ambiguous problems.
Genuine curiosity about AI and emerging technologies and an interest in how they can be applied to improve the way businesses operate.
Strong written and verbal communication skills, with the ability to explain ideas clearly to different audiences.
Ability to collaborate effectively with colleagues and stakeholders and contribute positively within a team environment.
Strong learning agility and willingness to experiment, test ideas, learn from outcomes and continuously improve.
Good judgement and awareness of the importance of responsible AI, data privacy and confidentiality.
Strong organisation, ownership, reliability and attention to detail.
An understanding of user needs and an interest in improving processes and experiences.
Previous professional experience within AI or technology is not required. Relevant capability may have been developed through university projects, personal projects, employment, volunteering, coursework or other experiences.
Experience using AI tools, data, automation, coding or other technology through academic, professional or personal projects would be advantageous.
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Private global tax services and software firm serving businesses with federal, state, local, and international tax solutions.
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