Position Details
About this role
This role involves leading the development of deep learning models to improve underwriting processes and customer insights in a financial services context.
Key Responsibilities
- Lead deep learning model development
- Collaborate with stakeholders
- Transform raw data into predictive features
- Manage model deployment
- Innovate with new techniques
Technical Overview
The technical environment includes Python, SQL, TensorFlow, PyTorch, and NLP techniques, focusing on sequential data and large-scale model deployment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong expertise in deep learning, neural networks, and experience deploying models in production. They are proficient in Python and frameworks like TensorFlow or PyTorch and can handle large, complex datasets.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with deep learning frameworks, No experience with sequential data models, Limited coding proficiency in Python or SQL
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