Data Scientist - Python/ETL

Description :

Responsibilities :

- Collect, clean, and preprocess structured and unstructured data from various databases and APIs.

- Build and maintain ETL pipelines for data ingestion and transformation.

- Support the development and deployment of machine learning and statistical models.

- Design and publish interactive dashboards and reports using BI tools (e. g., Power BI, Tableau, or Looker).

- Conduct ad-hoc analyses to support business units and provide insights on performance trends.

- Collaborate with data engineers and business stakeholders to ensure data accuracy, consistency, and accessibility.

Requirements :

- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

- 2-4 years of experience in a data-focused role (data analysis, BI, or data science).

- Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.

- Hands-on experience with BI tools such as Power BI, Tableau, or Looker.

- Familiarity with data modelling, database design, and version control (Git).

- Exposure to cloud environments (AWS, Azure, or GCP) is an advantage.

- Strong analytical mindset and attention to detail.

- Experience in the Banking or Financial Industry is preferred.

Soft Skills :

- Curious and eager to learn new technologies.

- Collaborative mindset with good communication skills.

- Ability to translate analytical findings into actionable business recommendations.