Job Description

Your Role and Responsibilities

Data Scientist-Advanced Analytics– IBM Ballarat

  • Work in a role where no two days are the same
  • Collaborate with stakeholders of all levels
  • Permanent position, based in Ballarat

  • We are the trusted partner for Australia and New Zealand’s businesses and governments as they reinvent using cloud, AI and blockchain within a secure environment. Our clients succeed because of our world-leading researchers, engineers and designers and our deep industry expertise. We celebrate our diversity and unite in our passion for IBM. We are #anewIBM
    What will I be doing?
    Responsible for the provision of specialist, expert analytical advice and advanced techniques to develop new ways to address the challenges associated with client main use cases. This role works closely with business data analysts and subject matter experts, to deliver analytic applications and insights that drive the performance of client’s business.
    • Managing agile, cross functional teams to deliver analytic applications and insights that drive the performance of our business.
    • Driving the collection of new data and supporting data analysts in the areas of data curation, feature development, and development of interactive dashboards.
    • Developing machine learning algorithms to predict the likelihood of workplace injuries, worker outcomes, fraud etc.
    • Assisting development and implementation of best practice data science guidelines to improve the analytic and modelling processes.
    • Analysing large and complex data sources using appropriate tools and techniques to
    • provide insights and validate hypotheses.
    • Effectively communicating complex analyses and findings in a clear and concise manner to non-technical audiences.
    • Developing colleagues in their data science skills, including participation in our analytic community.
    What skills will I need?
    • Understanding of statistics (e.g. hypothesis testing, regressions etc).
    • Demonstrated experience with advanced data science analytic tools in analytic programming languages such as SAS, SQL, R, Python.
    • A strong knowledge of and experience using data visualisation tools in day to day work (e.g. SAS VA, QlikView, Tableau).
    • Demonstrated ability to liaise in a professional manner with a range of internal and external clients/stakeholders.
    • Highly developed written and oral communication skills.
    What experience do I need?
    • Hands on experience in managing large quantum of data in Big Data environment (e.g. Hadoop platform) an advantage.
    • Experience in leading teams and individuals to develop analytical applications to support business objectives
    • Advanced degree in computer science or equivalent.
    • Depth of understanding in database design, including conceptualisation to database optimisation.
    • Ability to conceive and portrait big data picture.
    • Significant knowledge of relational database management systems to capture and utilise data.
    Sign me up!
    If you tick these boxes, and are ready to start your next challenge with a career at IBM – click “Apply” today. To find out more, head to


As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Required Technical and Professional Expertise

As Above

Preferred Technical and Professional Experience

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Eligibility Requirements

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About Business Unit

IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.

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