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Job Title: Data Scientist
Location: Amsterdam, Netherlands
Job Type: Full-time
Summary:
We are seeking a talented Data Scientist to join our team in Amsterdam, Netherlands. As a Data Scientist, you will play a key role in driving business growth and innovation by analysing complex data sets, developing predictive models, and providing actionable insights to stakeholders.
Key Responsibilities:
Location: Amsterdam, Netherlands
Job Type: Full-time
Summary:
We are seeking a talented Data Scientist to join our team in Amsterdam, Netherlands. As a Data Scientist, you will play a key role in driving business growth and innovation by analysing complex data sets, developing predictive models, and providing actionable insights to stakeholders.
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.
- 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 modelling, and banking use cases like risk scoring and fraud detection
- Familiarity with data visualisation tools such as Power BI
- Competitive salary and benefits package
- Opportunity to work on complex and challenging projects that drive business impact
- Collaborative and dynamic work environment with a team of experienced data scientists and engineers
- Professional development opportunities to stay up-to-date with the latest technologies and trends in data science
- Flexible working hours and remote work options
Key Skills
Ranked by relevance
sql
etl
mlops
python
tensorflow
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- Posted
- Nov 09, 2024
- Type
- Contract
- Level
- Entry
- Location
- Amsterdam
- Company
- NextLink Group
Industries
Financial Services
Categories
Finance
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3 roles aligned with this opportunity
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