We are seeking a motivated and detail-oriented Data Scientist to join our analytics and AI team.

This role is ideal for candidates with foundational experience in data science and a strong interest in applying machine learning, statistical techniques, and scalable data tools to real-world problems.

You will collaborate with data scientists and engineers to develop, deploy, and monitor data-driven solutions.

Key Responsibilities :

- Assist in designing and implementing machine learning models for predictive analytics and anomaly detection.

- Perform statistical analysis to extract insights and support business decisions.

- Collaborate with cross-functional teams to understand data requirements and deliver actionable solutions.

- Contribute to data preprocessing, feature engineering, and model evaluation.

- Support the deployment and monitoring of models in production environments.

- Use Databricks for scalable data processing and model development.

Required Qualifications :

- Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Hands-on experience with Python and machine learning libraries.

- Understanding of statistical methods and their application in data analysis.

- Good communication and collaboration abilities.

- Fluency in English.

Preferred Qualifications :

- Familiarity with cloud-based platform especially Databricks.

- Hands-on experience with ML monitoring tools (e.g , MLflow).

- Knowledge of SQL and data visualization tools.

- Experience with PySpark.

- Internship or academic project experience in data science or machine learning.