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  • Posted: May 22, 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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    Decision Science Analyst (Predictive Modelling)

    • A leading player in the financial services is seeking a Predictive Modelling Analyst to join their high-impact analytics team. This role is perfect for someone who thrives on solving complex problems and turning data into strategic insights that drive performance.

    Key Responsibilities:

    • Design, build, and maintain predictive models that inform collection strategies, customer segmentation, and operational initiatives.
    • Apply statistical and machine learning techniques to uncover patterns and forecast outcomes across large datasets.
    • Collaborate with cross-functional teams to integrate models into business processes and support decision-making.
    • Conduct model performance tracking and recalibration to ensure ongoing relevance and accuracy.
    • Develop and present insightful reports and visualisations that translate data into business action.
    • Support champion/challenger testing strategies to identify optimisation opportunities.

    Ideal Candidate Profile:

    • Degree in a quantitative field such as Statistics, Data Science, Mathematics, Actuarial Science, or Engineering.
    • 2–5 years' experience in predictive modelling, ideally within credit risk, collections, or customer analytics.
    • Proficient in SQL and one or more of the following: Python, R, or other statistical programming tools.
    • Familiarity with data visualisation platforms like PowerBI or Tableau.
    • Strong problem-solving mindset and the ability to communicate complex concepts to non-technical stakeholders.

    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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