II. Requirements
Core:
- Bachelor's or Master's degree in Technology, Computer Science, Data Science - must have
- Strong analytical, problem-solving, and communication skills - must have
- Proficiency in Python/R, SQL, and deep learning frameworks (TensorFlow/PyTorch). - must have
- Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data - must have
- Demonstrated proficiency in modern analytics, reporting and visualization solutions (such as PowerBI, Python) - must have
- Demonstrated proficiency with big data tools (Spark, Hadoop). - must have for experienced candidate
- Experience in NLP, computer vision, or generative AI. - must have for experienced candidate
- Skilled in data modeling and governance models and making them a reality in a large cooperation - must have for experienced candidate
Preferred & extended consideration:
- Preferred Technical Data background: 3+ years in data science, with >1+ years using demonstrated application and/or development of GenAI/ML (including but not limited to Open AI, DeepSeek, LLaMA models) platforms & tools.
- Grads with experience as "Lab tutor" will have advantage/priority
- Experience in Banking and Finance
- Strong Interest in the trend analytics, Financial & Management Reporting in banking domain is a plus
- Knowledge of MLOps practices and open-source contributions.
- Familiarity with cloud services (e.g. AWS) and CI/CD pipelines.