Description

Apply analytical skills to data-driven challenges in the banking sector, owning the end-to-end data science workflow from preprocessing to modeling and visualization.

This role is on-site.

Responsibilities

• Perform data preprocessing using NumPy and Pandas to prepare datasets for modeling.
• Develop and train machine learning models using scikit-learn.
• Create data visualizations using Seaborn, Plotly, and Matplotlib to communicate insights.
• Utilize Dataiku and SAS for data science workflows.
• Collaborate with teams by applying critical thinking and responding to technical feedback.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python for machine learning and data manipulation.
• Hands-on experience with NumPy and Pandas.
• Experience with scikit-learn for predictive modeling.
• Ability to perform data visualization using Seaborn, Plotly, or Matplotlib.
• Working knowledge of Dataiku and SAS.
• Strong analytical and critical thinking skills.
• Business acumen specifically within the banking industry.
• Effective communication skills.

Preferred Skills

• Experience working in a banking environment.

Key Skills

Education

Any Graduate