Data Scientist

Data Scientist:

For one of our globally leading tech clients we are urgently looking for an experienced Data Scientist for a long contract based in Amsterdam.

Its paying well and my client can interview asap!

Key Responsibilities:

• Data Analysis & Insights Generation
• Perform exploratory data analysis on large-scale banking datasets to identify trends, patterns, and opportunities for business impact.
• Utilize Azure Synapse Analytics and Power BI to create dashboards and reports, enabling stakeholders to make data-informed decisions.
• Model Development & Experimentation
• Build and validate predictive models using techniques such as regression, classification, and clustering for use cases including credit scoring, fraud detection, and customer segmentation.
• Experiment with advanced analytics, including deep learning, NLP, and time-series forecasting, to address specific banking challenges.
• Data Preparation & Feature Engineering
• Develop data pipelines and perform ETL processes using Azure Data Factory to prepare structured and unstructured data for analysis.
• Conduct feature engineering, data transformation, and data cleaning to improve model accuracy and robustness.
• Collaboration & Business Alignment
• Collaborate with stakeholders to understand business needs and translate them into data science solutions.
• Work closely with data engineers, machine learning engineers, and other team members to ensure seamless integration of models into production.
• Deployment & Monitoring
• Deploy models to Azure Machine Learning Service and set up monitoring to evaluate model performance and make adjustments as needed.
• Implement best practices in MLOps for model lifecycle management and versioning.Skills:
• Proficiency in Python and ML libraries (e.g., Scikit-Learn, TensorFlow).
• Solid SQL skills and experience with Azure SQL Database or Azure Cosmos DB.
• Strong understanding of statistical analysis, predictive modeling, and banking use cases like risk scoring and fraud detection.
• Familiarity with data visualization tools such as Power BI.

Competencies: Digital : Data Science, Digital : Machine Learning

If this is you, then please do not delay in applying!