Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field.
- 3–6 years of hands-on experience in Data Science or Machine Learning.
- Proven experience building and deploying machine learning models in production environments.
- Domain experience in Financial Services, Banking, Insurance, Retail, or Telecommunications is advantageous.
Desired Skills:
- Python
- Pandas
- NumPy
- TensorFlow
- PyTorch
- SQL
- Feature Engineering