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  • Posted: May 26, 2025
    Deadline: Not specified
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  • Network Recruitment is a leading specialist recruitment agency and your first port of call for permanent and contract Finance jobs, IT jobs as well as Engineering jobs. Established in 1987, Network Recruitment has offered outstanding recruitment solutions to both clients and candidates for 25 years, living up to their credo of "Developing Relationships,...
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    Data Scientist – Machine Learning & Modelling

    • We’re looking for a Predictive Modeller who thrives on autonomy, owns their work end-to-end, and wants to push the boundaries of what’s possible with machine learning and data science.

    What You’ll Be Doing:

    • Design and build predictive models from the ground up to solve real-world business problems.
    • Own the entire modelling lifecycle—from data exploration to deployment.
    • Apply advanced machine learning and statistical methods to drive performance and value.
    • Collaborate with cross-functional teams to turn business challenges into model-driven solutions.
    • Contribute to exploratory, strategic, and operational modelling projects.
    • Drive innovation by questioning assumptions and delivering smarter insights.
    • Continuously test, refine, and optimise models for accuracy and impact.

    What We’re Looking For:

    • 3+ years of hands-on predictive modelling experience (development, not just maintenance).
    • Proven track record building models using real-world, messy datasets.
    • Strong programming skills in Python, R, SQL, or equivalent.
    • Deep understanding of machine learning algorithms and their application in a business context.
    • Independent, proactive mindset – able to drive your work forward with minimal oversight.
    • Experience in financial services or insurance modelling is a strong advantage.
    • Must be office-based and excited to work in a fast-paced, collaborative team environment.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Network Recruitment on www.linkedin.com to apply

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