Data Scientist.

4 dagen geleden

Amsterdam, Nederland Next-Link Voltijd
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:
  1. Data Analysis & Insights Generation:
  1. Perform exploratory data analysis on large-scale banking datasets to identify trends, patterns, and opportunities for business impact.
  1. Utilize Azure Synapse Analytics and Power BI to create dashboards and reports, enabling stakeholders to make data-informed decisions.
  1. Model Development & Experimentation:
  1. Build and validate predictive models using techniques such as regression, classification, and clustering for use cases including credit scoring, fraud detection, and customer segmentation.
  1. Experiment with advanced analytics, including deep learning, NLP, and time-series forecasting, to address specific banking challenges.
  1. Data Preparation & Feature Engineering:
  1. Develop data pipelines and perform ETL processes using Azure Data Factory to prepare structured and unstructured data for analysis.
  1. Conduct feature engineering, data transformation, and data cleaning to improve model accuracy and robustness.
  1. Collaboration & Business Alignment:
  1. Collaborate with stakeholders to understand business needs and translate them into data science solutions.
  1. Work closely with data engineers, machine learning engineers, and other team members to ensure seamless integration of models into production.
  1. Deployment & Monitoring:
  1. Deploy models to Azure Machine Learning Service and set up monitoring to evaluate model performance and make adjustments as needed.
  1. Implement best practices in MLOps for model lifecycle management and versioning.


Requirements
  1. Proficiency in Python and ML libraries (e.g., Scikit-Learn, TensorFlow)
  2. Solid SQL skills and experience with Azure SQL Database or Azure Cosmos DB
  3. Strong understanding of statistical analysis, predictive modelling, and banking use cases like risk scoring and fraud detection
  4. Familiarity with data visualisation tools such as Power BI


Benefits
  1. Competitive salary and benefits package
  2. Opportunity to work on complex and challenging projects that drive business impact
  3. Collaborative and dynamic work environment with a team of experienced data scientists and engineers
  4. Professional development opportunities to stay up-to-date with the latest technologies and trends in data science
  5. Flexible working hours and remote work options

 

If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to []. We look forward to hearing from you

 



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