Lead Data Scientist /Deep Learning Practitioner
Tasks
- Build neural networks for predictive features
- Conduct code reviews and enforce software engineering best practices
- Deploy prototypes to production systems
- Identify improvements using structured and unstructured data
- Lead development of deep learning underwriting models
- Prioritize machine learning initiatives with business stakeholders
- Produce reliable maintainable SQL and Python code
- Train deep learning models on GPUs or GPU clusters
Perks/Benefits
- Career progression
- Cycle to work scheme
- Enhanced parental leave
- Generous holiday entitlement
- Hybrid work model
- Mindfulness rooms
- Music rooms
- On-site gym
- Pension scheme
- Private medical insurance
- Season ticket loans
- Subsidised restaurant
- Training programs
Skills/Tech-stack
Data Engineering | Deep learning | GPU Computing | Hugging Face | LSTM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Probability | PyTorch | Python | RNN | Recurrent Neural Networks | SQL | Statistics | TensorFlow | Time Series | Tokenization | Transformers
Education
N/A
Roles
Data Scientist | Deep Learning Engineer | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Scientist
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