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Data Scientist

Hiring from
Belgium
Work type
Hybrid
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Show job description

You will be working with a Fintech company in Kontich as a Data Scientist, using advanced analytics and machine learning to uncover insights, improve financial decision-making and develop data-driven solutions that deliver real business impact.


Responsibilities

  • Design, develop and implement statistical models and machine learning solutions for fintech use cases such as credit risk, fraud detection, customer segmentation, forecasting and financial performance analysis.
  • Analyse structured and unstructured data to identify patterns, trends and opportunities that support strategic and operational decision-making.
  • Develop predictive models using Python, machine learning and statistical techniques to solve real-world financial challenges.
  • Build and optimise data pipelines, analytical workflows and model deployment processes to ensure reliable, scalable and efficient solutions.


Your Profile

  • 2–5 years of experience in Data Science, Machine Learning or a similar quantitative role.
  • Strong Python programming skills, with practical experience using libraries such as pandas, NumPy, scikit-learn and, ideally, XGBoost or similar frameworks.
  • Solid understanding of statistics, probability, predictive modelling and machine learning techniques.
  • Experience working with SQL, large datasets and data processing pipelines.
  • Proven ability to develop, validate and deploy machine learning models or analytical solutions into production environments.


The Offer

  • Hybrid working model, with the office based in Kontich.
  • The opportunity to work on challenging data science projects within the fintech industry.
  • A collaborative, data-driven environment focused on innovation, continuous learning and measurable business impact.
  • Competitive salary package, depending on experience.
  • Additional benefits and flexibility, depending on the company's package.
  • The opportunity to influence how data science and machine learning are applied across the business, with clear progression into Senior Data Scientist, Lead Data Scientist, ML Engineer or Data Science leadership roles.


If this opportunity sounds like the right fit, apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com.

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