Product Data Science Managers, New Zealand

Product Data Science Managers Jobs in New Zealand

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Accenture New Zealand

Accenture NZ – Data & AI Consultants

  • Posted 1w ago
  • On Site
  • Full Time
Location

Auckland

Job Description

We are seeking Consultants to help drive AI and data strategies for our clients. Whether you're looking to lead teams or provide strategic insights, this role offers an exciting opportunity to work on impactful projects.

Why Join Accenture New Zealand’s Data & AI Practice?

At Accenture New Zealand, we believe in empowering our people to do their best work while fostering a culture of innovation, collaboration, and continuous learning. As part of our Data & AI practice, you’ll have the opportunity to work on cutting-edge technologies, solve real-world challenges, and drive meaningful impact for our clients.

Key Responsibilities

  • Advise clients on data strategy, AI adoption, and analytics transformation.
  • Work across industries, delivering data-driven solutions that enhance business performance.
  • Collaborate with technical and business teams to develop actionable insights.


You’ll have the opportunity to:

  • Communicate insights effectively, delivering reports and presentations to internal and client stakeholders.
  • Respond to critical challenges in areas such as data governance, machine learning, and NLP, both internally and for clients.
  • Help to articulate business impact through scientific storytelling and visualization techniques.
  • Work to develop AI-driven language solutions, enabling systems to interpret, understand, and respond to human speech.
  • Design and implement AI solutions, applying deep learning and neural network models to transform data into actionable insights.


Qualifications

About You

  • Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related field.
  • Experience in deploying machine learning algorithms for analytics-driven digital transformations.
  • Experience in / working towards experience in Snowflake, Apache Spark, Microsoft Azure Machine Learning, Mathematical Programming, and Sentiment Analysis.


Why Join Accenture?

  • Innovative Work: Solve complex business challenges using cutting-edge AI, machine learning, and data analytics technologies.
  • Career Growth: Access world-class training, certifications, and mentorship to accelerate your career.
  • Flexible Work Arrangements: Options that acknowledge employees' roles beyond the workplace.
  • Global Network: Work alongside top industry experts and contribute to projects for leading global and local clients.
  • Competitive Benefits: Access market-leading remuneration, employee wellness programs, and professional development support.


About Accenture NZ

Accenture in New Zealand delivers on the promise of technology and human ingenuity.

We live, breathe, and love New Zealand. We’re local partners backed by global experience and capabilities. Transforming organisations through innovation, industry experience, and technology, we enable you to achieve your goals. Working with and for our communities, we travel alongside fellow Kiwis on a journey of positive transformation, doing the right thing by our society to ensure a thriving New Zealand.

We are changing the world fast, come with us. Click here to know more on how we work : Artificial Intelligence (AI) Services & Solutions | Accenture

Desired Soft Skills

  • Problem Solving
  • Collaboration
  • Strategic Thinking
  • Communication
  • Machine Learning & AI Expertise
  • Data Strategy & Analytics
  • Technical Proficiency in Tools

Benefits and Perks

  • 📚
    Career Break
  • 🏛
    Fully Paid Jury Service
  • 🏘
    Work from Home
  • ⚖
    Work-Life Balance Support
  • 💚
    Counselling Services
  • 🏎
    Competitive Salary
  • 🎉
    Employee Discounts and Rewards
  • 💻
    Company Supplied Technology
  • 📱
    Discounted Phone or Internet Plans
  • 🚶
    Ease Back to Work
  • ⏰
    Flexible Work
  • Gender Transition Suport

Job Schedule

  • Monday to Friday

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