Data Scientist

☞ Koda Staff

View: 100

Update day: 07-11-2025

Location: Brussels Brussels Capital

Category: Science

Industry: Financial Services

Position: Mid-Senior level

Job type: Contract

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Job content

I am currently searching for an experience Data Scientist to join a valued client of mine within in the financial sector based in Brussels.

In this role, you will leverage your data science expertise to analyze complex datasets, build predictive models, and uncover insights that drive data-informed decision-making. This freelance opportunity is ideal for a data scientist who values flexibility, thrives on solving real-world problems, and has a passion for innovative analysis.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Build, train, and deploy predictive and machine learning models to address specific business challenges.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
  • Design and implement experiments to test hypotheses and optimize business processes.
  • Present findings and communicate insights effectively to both technical and non-technical stakeholders.
  • Stay up-to-date with advancements in data science and machine learning techniques to continuously improve analyses.

Qualifications:

  • Proven experience as a Data Scientist (freelance experience preferred).
  • Proficiency in data science and machine learning tools, such as Python, R, and SQL.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Strong skills in statistical analysis, data modeling, and predictive analytics.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and ability to convey complex findings clearly.
  • Excellent problem-solving skills with strong analytical and critical thinking abilities.

Fluent in English; knowledge of French or Dutch is a plus.

What We Offer:

  • Competitive project-based compensation.
  • Flexible working arrangements, with remote work options.
  • Opportunity to work on diverse, impactful projects.
  • A collaborative environment with a team dedicated to data-driven innovation

If this role sounds like something you would be interested in, Please Apply Now!

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Deadline: 22-12-2025

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