NLP Data Scientist - Customer Intelligence
Tasks
- Build NLP models for intent classification
- Build and maintain customer insight pipeline
- Build intent taxonomy and query knowledge base
- Fine tune transformer models for text classification
- Generate text embeddings for semantic similarity
- Handle messy real world text data quality issues
- Identify contact drivers and root causes over time
- Integrate customer contact data with CRM and patient records
- Operate within DPIA for patient contact data
- Process clean and normalize unstructured customer feedback
- Produce insight reports for customer service leadership
- Quantify self service deflection value
- Track patient satisfaction signals across channels
Perks/Benefits
- Annual leave
- Buy & sell holiday scheme
- CPD support
- Contributory pension
- Discounted gym memberships
- Employee assistance programme
- Enhanced maternity pay
- Enhanced paternity pay
- Flexible working hours
- Hybrid working
- Mental health support
- Occupational sick pay
- Private healthcare insurance
Skills/Tech-stack
Azure Machine Learning | Data Normalization | Data Pipelines | Data cleaning | Databricks | Git | HuggingFace Transformers | Intent Recognition | LLM | Language Processing | Machine Learning | NLTK | Natural Language | Natural Language Processing | Prompt engineering | Python | SQL | Scikit-learn | Sentiment Analysis | Spacy | Text Classification | Text Embeddings | Topic Modeling | Transformer Models | Version control
Education
N/A
Roles
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