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    Data Scientist

    Turn complex data into decisions organisations can act on

    Data scientists at ExpandIQ work on forecasting, analytics and decision systems that support real business operations.

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    The work

    What you'll work on

    Typical projects include:

    • Developing forecasting models
    • Analysing operational and commercial data
    • Identifying patterns and insights that inform decisions
    • Building analytical tools and dashboards
    • Collaborating with engineers to embed models into systems

    The focus is applied work that organisations rely on.

    What this role requires

    Skills and interests

    You may enjoy this role if you:

    • Enjoy analysing complex datasets
    • Are comfortable translating data into business insight
    • Like building models that operate in production environments
    • Enjoy working with engineers and business stakeholders

    Typical backgrounds include data science, statistics, analytics or applied mathematics.

    What it's like to work here

    The environment

    You will work on real datasets from organisations across different industries. Your analysis will influence operational and commercial decisions and contribute to systems used in daily work.

    Who this role may not suit

    Consider carefully

    This role may not be the right fit if you prefer working only on research problems or purely academic modelling. Much of the work involves applying analytical techniques to messy real-world data and helping organisations make decisions based on the results.

    • People who thrive here tend to enjoy working through ambiguity
    • The goal is always to translate analysis into decisions organisations rely on

    Apply

    Submit your application

    Upload your resume and send us a short note telling us why this work interests you, what kinds of data problems you enjoy working on, and anything you have built or analysed that you are proud of.

    Upload your resume (PDF or Word)

    This doesn't need to be a formal cover letter. A short note explaining your interest is perfect.

    Not quite the right fit?

    Explore other roles or reach out if you think you'd be a good addition to the team.

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