- 3-8 years of experience in data analytics with practical exposure to building predictive models
- Financial services experience will be a plus
- Strong academic background, preferably from Tier I institutes with a major in Engineering/Mathematics/Statistics
- Self-driven, with the ability to work in a fast paced, dynamic environment
- Analytical thinker with strong problem structuring and solving abilities
- Ability to work in a systematic manner with focus on quality of work and efficiency
- Hands-on experience in Python , R, SQL
- Worked on NLP unstructured data / semi structured data
- Have prior experience in pre-trained models, like BERT, Glove
- Worked on Neural Network, with experience in Tensor Flow, PyTorch
- Model development using RNN, CNN, LSTM
- Machine learning model development, hands on experience in Random Forest, XGboost, SVM, etc
- Experience in model performance tuning
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