data scientist

data scientist Nottingham, England

MBN Solutions
Full Time Nottingham, England 75000 - 65000 GBP ANNUAL Today
Job description

  • About the role

    Lead Data Scientist – Nottingham (Hybrid Working)

    Up to £75,000 + Comprehensive Package


    MBN is partnering up with an energy company to help them appoint a Lead Data Scientist in the Debt and Credit function. The position involves using real-world datasets to develop innovative models for credit and debt management strategies.


    Key Responsibilities:

    • Developing innovative predictive models and utilizing statistical techniques.
    • Assessing customer credit worthiness and behavioural trends from both internal and external data sources, including credit, collection, vulnerability, and affordability perspectives.
    • Creating and implementing risk scorecards to evaluate credit risk and inform business decisions.
    • Working with large structured and unstructured datasets, manipulating data, and applying analytical techniques to deliver data-driven solutions.
    • Proactively planning for the future by exploring advanced modelling techniques and developing machine learning capabilities to improve credit risk modelling.

    Skills:

    • Proficiency in data analysis and programming languages such as SQL and Python.
    • Strong statistical background and familiarity with varied statistical techniques.
    • Effective communication skills, capable of conveying complex concepts to non-technical stakeholders.
    • Experience in designing, developing, monitoring, and overseeing credit risk management models and scorecards.
    • Proven accountability, capable of making decisions and taking ownership of improvements.

    Nice to have:

    • Experience in Databricks and Tableau is highly beneficial

    For more information or to apply, please send your updated CV to [email protected]

data scientist
MBN Solutions

www.mbnsolutions.com
Glasgow, United Kingdom
Michael Young
Unknown / Non-Applicable
1 to 50 Employees
Company - Private
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