Data Scientist

Il y a 5 heures

Kontich, Flanders, Belgique Vivid Resourcing Ltd Temps plein

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pYou 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. /p h3Responsibilities /h3 ul liDesign, 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. /li liAnalyse structured and unstructured data to identify patterns, trends and opportunities that support strategic and operational decision-making. /li liDevelop predictive models using Python, machine learning and statistical techniques to solve real-world financial challenges. /li liBuild and optimise data pipelines, analytical workflows and model deployment processes to ensure reliable, scalable and efficient solutions. /li /ul h3Your Profile /h3 ul li2–5 years of experience in Data Science, Machine Learning or a similar quantitative role. /li liStrong Python programming skills, with practical experience using libraries such as pandas, NumPy, scikit-learn and, ideally, XGBoost or similar frameworks. /li liSolid understanding of statistics, probability, predictive modelling and machine learning techniques. /li liExperience working with SQL, large datasets and data processing pipelines. /li liProven ability to develop, validate and deploy machine learning models or analytical solutions into production environments. /li /ul h3The Offer /h3 ul liHybrid working model, with the office based in Kontich. /li liThe opportunity to work on challenging data science projects within the fintech industry. /li liA collaborative, data-driven environment focused on innovation, continuous learning and measurable business impact. /li liCompetitive salary package, depending on experience. /li liAdditional benefits and flexibility, depending on the company's package. /li liThe 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. /li /ul

Data Scientist

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Data Scientist

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