Lead Data Scientist
- Full-time
- Office address: Deloitte Auckland, Level 20, 1 Queen Street, Auckland
- Department: Consulting | Technology | AI & Data (incl. GenAI)
Company Description
Join us. But be you. At Deloitte, you’ll do more than just join something, you’ll add something. You’ve found a place that values your curiosity, passion, and desire to work alongside brilliant people on the things that really matter. There really is only one question: What impact do YOU want to make?
We’re looking for a Senior Data Scientist for our office in Wellington or Auckland.
We have strong shared values and the power of purpose to make a real difference.
- Passionate about developing generative artificial intelligence solutions for different use cases and industries? Dive into a world where you can explore, assess, and develop cutting-edge tools that have the potential to enhance the industry.
- Join a tech-driven, innovative, and fast-paced team that thrives on making a significant impact. We're not just about ideas; we bring them to life by leveraging the latest technologies and methodologies.
- Tackle a wide range of tech challenges across various projects and environments. Continuously apply and enhance your skills in generative AI and cloud technologies, ensuring constant learning and growth.
Job Description
About the role and team
With expanding opportunities, we are building up our AI capability, encompassing data science and AI modelling. As a member of our Artificial Intelligence & Data team you will play an active role in designing and delivering solutions based on AI, machine learning, and advanced analytics. The position is an exciting role that encompasses the full-stack, end-to-end delivery of artificial intelligence projects. You will have a diverse range of tasks and responsibilities, including model design, solution architecting, development, and testing and evaluating AI models. This position provides the opportunity to work in various challenging technical environments across different industries and functions. As a leader in the team, your crucial role in mentoring and knowledge sharing will empower the broader team to achieve the best outcomes for our clients. In turn, our Directors and Partners are committed to supporting your career and skills development, providing strategic direction to ensure your personal goals align with opportunities provided.
A week in the life of a Senior Data Scientist could include:
- Owning end-to-end projects in data science and AI, leading development of innovative solutions from concept to deployment, in a fast-paced dynamic environment.
- Advising clients and technology leaders to understand how to gain insights, efficiencies and opportunities through implementing future-proof AI solutions.
- Collaborating with cross-functional Deloitte teams to identify business requirements and develop AI solutions that meet those requirements.
- Applying and enhancing your expertise in machine learning, data science, agentic design, retrieval augmented generation (RAG), and graphed systems, which are central to our approach in driving client success in technology and business transformations.
- Developing testing frameworks and evaluating AI models, using both traditional data science skills and emerging areas such as prompt engineering and AI solution design.
- Maintaining a high level of continuous learning in the latest tools and processes available in market, particularly with regards to data science and AI technologies.
- Implementing DevOps best practice, including managing a centralised code repository and maintaining high-quality documentation.
- Supporting your Deloitte colleagues to make an impact that matters to your community and clients, notably providing technical guidance to junior team members.
Qualifications
Enough about us, let’s talk about you. You are someone with:
- Leading knowledge of data science and AI methodologies
- Proven track record of successfully crafting end-to-end projects in data science, machine learning and Generative AI, including leveraging Cloud technology platforms such as AWS, Azure, and GCP.
- Strong programming and development skills in Python and frontend languages such as JavaScript, React, or TypeScript.
- Familiarity with Generative AI frameworks such as LangChain, including knowledge of the latest tools and refinement approaches is highly desirable.
- Experience organising and prioritising tasks, plus implementing DevOps best practices using git and related version control systems. Experience with monorepositories will be viewed favourably.
- Exceptional communication, collaboration, and stakeholder management skills, with an ability to lead a team while employing a kind and positive attitude.
- A passion for all things AI and the motivation to proactively embark on continuous learning as this area evolves.
Additional Information
Deloitte rewards
We hold a simple belief – that our people’s hard work should be recognised and rewarded beyond their remuneration.
We have reimagined what ‘work’ looks like and how we can empower all our people to create a work experience that is distinct to their needs. Founded on concepts of trust, balance, wellbeing and the importance of personal connection, this is the Deloitte experience.
We offer:
- Flexible work arrangements – work in a way that suits you, us and our clients best
- Subsidised professional qualifications and paid professional memberships
- Subsidised health insurance
- Income protection insurance
- 20 days annual leave
- Social events, social sports teams, and monthly firm drinks
- A focus on wellness and well-being
- Community focused volunteer days
- A focus on the environment and sustainability
- Plus much more
Does this sound exactly like the sort of role and organisation for you? Then apply now! We’d love to hear from you.
We believe the strongest teams are made up of diverse individuals and we are proud to be an equal opportunities employer. We recognise that women and individuals from under-represented backgrounds may hesitate to apply if they don't meet all criteria. If you're passionate about this role and believe you have the skills, we encourage you to apply, even if your experience, ideal working hours or qualifications aren't a perfect match.
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