To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days,……
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Work hand-in-hand with data scientists, engineers, and stakeholders to deliver production-grade applications. Join a fast-growing Data & AI team that’s shaping……
Working knowledge of machine learning principles (desirable), particularly in implementation and integration. A degree in Computer Science, Software Engineering……
Strong foundations in data science and machine learning, including feature engineering, model evaluation, and optimisation. Why It’s a Big Deal.…
We support applications from all members of our community and equitable access to our employment opportunities. Chubb is a world leader in insurance.…
Design and implement LLM-powered applications using leading AI platforms and models, such as OpenAI, Anthropic Claude, Llama, and other foundation models.…
Collaborate cross‑functionally with Data Engineering, Software Development, Sales & Pre‑Sales, and leadership stakeholders, while staying current with emerging……
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. If access to export-controlled technology or source……
Honours or higher academic qualification in computer science, and/or strong quantitative grounding and equivalent software engineering work experience; and.…
If you are a penultimate, final-year undergraduate, or postgraduate student pursuing a degree in AI Engineering, Computer Science, Data Science, Machine……
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to……
Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing……
This position will work with a team of excellent research scientists and machine learning engineers who can take initiatives, design and develop advanced……
Operationalise machine learning and LLM-based solutions with strong reliability, performance, and governance controls. Strong Python and Linux experience.…
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. You will have an understanding of software engineering,……
\uD83D\uDFE3Set up your home office with a little financial help from us, and take advantage of great corporate discounts and vouchers from top retailers.…
Develop and maintain AI data pipelines, embeddings, knowledge stores and retrieval systems. Experience with vector databases and search technologies such as……
Previous experience with AI or machine learning projects. 2 days of paid volunteer leave and donation matching. 1 wellbeing leave day per year.…
Having a natural coaching mindset will allow you to successfully establish engineering standards and mentor junior machine learning colleagues.…
2–5 years of experience in AI, machine learning, data science, or software engineering roles. Design, build, and deploy AI-powered applications, machine……
The ideal candidate will have 2–5 years of hands-on experience in developing, deploying, and optimizing machine learning and artificial intelligence solutions.…
Data & AI Senior Analyst (EA, Sydney or Melbourne)
Sydney
$70K - $88K (Glassdoor Est.)
Date:
15 Jun 2026
Location:
Sydney, NSW, AU
Melbourne, VIC, AU
Department:
Audit and Assurance
Description: Job Requisition ID: 41319
Work with complex enterprise datasets, AI-enabled analytics and scalable data automation
Be part of a collaborative team that values diverse perspectives and empowers you to make a difference for our clients and communities.
Enjoy flexible work arrangements, world-class learning opportunities, and the support you need to thrive and grow.
What will your typical day look like?
You’ll work alongside experienced professionals to deliver data-driven AI-enabled solutions across client engagements and support on strategic transformation initiatives while continuing to build your capability through real project experience. One day you might be preparing and analysing large transactional datasets from multiple source systems; the next, automating data preparation workflows using SQL and Python or developing dashboards that help stakeholders understand operational, financial or risk trends.
You’ll be trusted to contribute to real client work from the outset while being supported through coaching, collaboration and structured learning.
The role involves:
Leading analytical workstreams across client engagements from requirements gathering through to delivery and stakeholder presentation
Collaborating with clients, business stakeholders and technical specialists to translate business challenges into scalable data, analytics and AI-enabled solutions
Designing and developing data pipelines, transformation processes and analytical models using SQL, Python and cloud-based technologies
Applying modern AI techniques, including GenAI, machine learning and AI-assisted development tools, to improve solution effectiveness and delivery efficiency
Performing complex data quality assessments, reconciliations, anomaly detection and root-cause investigations to support reliable and defensible outcomes
Developing impactful dashboards, visualisations and decision-support tools using Power BI and Tableau that enable clients to make informed decisions
Contributing to solution architecture, technical design decisions and delivery approaches across analytics and AI initiatives
Exposure to modern cloud data platforms such as Databricks and experience developing production-grade data-driven applications and AI-enabled solutions would be an advantage
Coaching and mentoring junior team members through technical guidance, quality reviews and day-to-day collaboration
Identifying opportunities to automate, standardise and improve delivery processes through reusable assets, accelerators and AI-enabled approaches
Building trusted relationships with stakeholders and communicating technical concepts, insights and recommendations to both technical and non-technical audiences
You won’t be expected to know everything from day one. You’ll be supported through structured learning, feedback and collaboration.
About the team
You’ll be joining the Digital Assurance Data team, a group of data analysts, scientists, engineers and management consultants who sit at the centre of Deloitte’s AI, analytics and automation transformation capability across Audit & Assurance and our clients.
Our team delivers scalable analytics solutions across a broad range of industries including resources, energy, financial services and government. We work across large and often messy enterprise datasets, helping Audit & Assurance (A&A) teams to re-imagine delivery processes and clients to improve insight, transparency and decision-making.
Enough about us, let’s talk about you. You are someone with….
3+ years of relevant experience in data analytics, data engineering, AI or related technology disciplines
Advanced Python and SQL skills, including data engineering, automation and analytical solution development
Strong experience designing and building data pipelines, transformation frameworks and scalable analytics solutions
Practical experience leveraging GenAI, machine learning or AI-assisted development tools to improve business outcomes and delivery efficiency
Strong problem-solving capability with the ability to structure ambiguous problems and develop pragmatic solutions
Experience leading small workstreams and coordinating activities across multiple stakeholders
Strong communication and presentation skills, with the ability to explain complex technical concepts to business audience
Demonstrated ability to mentor and support junior team members
A growth mindset, curiosity for emerging technologies and a passion for continuous learning
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.
The minimum salary is $70K and the max salary is $88K.
$70K – $88K/yr (Glassdoor Est.)
$79K
/yr Median
Sydney
If an employer includes a salary or salary range on their job, we display it as "Employer provided". If a job has no salary data, Glassdoor displays a "Glassdoor estimate" if available. To learn more about "Glassdoor estimates", see our FAQ page.
Working here doesn’t have to be a secret
Sign in to browse authentic reviews, anonymous ratings and salary data before you apply.