Data Scientist

Vivid Resourcing Ltd; Kontich; Hybrid; EUR 60,000 - 85,000; Full time

Job summary

Vivid Resourcing Ltd in Kontich is seeking a Data Scientist to apply advanced analytics and machine learning to uncover insights and improve financial decision-making.

You will design models for credit risk, fraud detection and forecasting, build scalable data pipelines, and deploy solutions into production within a fintech environment. The role offers a hybrid workplace with competitive salary and opportunities for growth.

Qualifications

• 2–5 years of experience in Data Science or similar quantitative role.
• Strong Python libraries: pandas, NumPy, scikit-learn; XGBoost preferred.
• Solid grounding in statistics and ML techniques.
• Experience with SQL and large datasets; building data pipelines.
• Proven ability to deploy ML models into production.

Responsibilities

• Design, develop and implement statistical models for fintech use cases.
• Analyse structured and unstructured data to identify patterns for decision-making.
• Develop predictive models using Python and ML techniques.
• Build and optimise data pipelines and model deployment processes.

Skills

Python programming

Statistics & ML

SQL & data pipelines

ML deployment

Data analysis

Tools

pandas

NumPy

scikit-learn

XGBoost

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.