We are looking for a motivated fresh Data Graduate to join our team. This entry-level role is perfect for recent graduates eager to start their careers in data science, engineering, or analytics. The ideal candidate will stay updated with new trends such as generative AI, principles of neural networks, knowledge graphs, NLP, computer vision, and time series forecasting.

Responsibilities:

• Assist in data collection, preprocessing, and analysis.
• Support senior data engineers and scientists in developing and implementing data models.
• Participate in the design and implementation of data pipelines.
• Conduct exploratory data analysis to uncover insights and trends.
• Collaborate with the AI/ML team to support machine learning projects.
• Partially participate in the data engineering phase of data acquisition and refining.

Requirements:

• Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Basic understanding of data analysis techniques and tools (e.g., SQL, Python, R).
• Familiarity with machine learning concepts (classification, regression, etc.).
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Acquaintance with generative AI concepts and applications.
• Familiarity with knowledge graph theory and graph databases.
• Understanding of NLP, computer vision, and time series forecasting.
• Experience with cloud platforms like Microsoft Azure.
• Basic knowledge of data engineering tools and practices.
• Familiarity with Microsoft Fabric (nice to have).
• Knowledge of RDBMS such as Oracle, SQL Server, and others.
• Understanding of knowledge graph theories.
• Strong analytical and problem-solving skills.
• Eagerness to learn and develop new skills in data engineering and analytics.
• Willingness to stay updated with new technologies and discover emerging market trends.
• Good communication skills and the ability to work in a team environment.