Lead Data Scientist
Tasks
- Analyze natural language text to uncover insights
- Apply generative models to generate text reports and insights
- Collaborate with product and engineering teams
- Deploy models and AI solutions to production
- Develop classification regression clustering models
- Develop proof of concepts using novel machine learning techniques
- Own model development process from exploratory analysis through production
Perks/Benefits
- Flexible work location
- Flexible work patterns
- Health insurance
- Income protection
- Life insurance
- Long-term illness insurance
- Paid Holidays
Skills/Tech-stack
AWS | AWS CodeBuild | AWS CodePipeline | Bash | Bitbucket Pipelines | CI/CD | Clustering | DBSCAN | Docker | Generative AI | Git | GitHub Actions | Jenkins | KMeans | Keras | Langchain | Language Processing | Linux | Llamaindex | Machine Learning | Multiclass Classification | Multilabel classification | Natural Language | Natural Language Processing | Neural Networks | NumPy | PowerBI | PyTorch | Python | Qlik | RAG | Regression | SciPy | Scikit-learn | Series forecasting | TFIDF | Tableau | TensorFlow | Text Embeddings | Time Series | Time Series Forecasting | Topic Modeling | Transformers | Word2Vec
Education
N/A
Roles
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