Lead Data Scientist
Tasks
- Build and maintain machine learning and AI data products
- Deploy models to production
- Design and implement end-to-end machine learning pipelines
- Develop NLP models using transformers and LLMs
- Ensure model governance risk management and fairness
- Establish MLOps standards for experimentation and testing
- Implement model monitoring and retraining schedules
- Lead data science and AI delivery
- Manage and coach data science and engineering teams
- Measure impact using business KPIs
- Partner with business stakeholders to embed models into workflows
- Perform code review and technical oversight
- Run A B and champion challenger tests
Perks/Benefits
- Contributory pension scheme
- Development days
- Discount on insurance products
- Flexible buy sell holiday options
- Flexible working options
- Hybrid working
- Retail discounts
- Volunteering days
Skills/Tech-stack
Amazon SageMaker | Artificial Intelligence | Azure ML | CI/CD | Containers | Data Drift | Databricks | Embeddings | Explainability | Fairness | Feature Engineering | Git | Language Models | Language Processing | Large Language Models | LightGBM | MLOps | MLflow | Machine Learning | Model Governance | Model Monitoring | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Risk Management | SQL | Transformers | XGBoost
Education
Roles
Data Science | Data Science Lead | Data Scientist | Lead | Lead Data | Lead Data Scientist | Science Lead | Scientist
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