Applied Data Science Lead
Tasks
- Build and validate statistical models
- Build machine learning models and improve performance
- Collaborate with product and delivery teams to embed outputs
- Create client facing narratives from analysis
- Create features and run repeatable model experiments
- Develop data pipelines and analytical workflows
- Document models and reusable assets
- Extract data from APIs and process datasets
- Lead applied data science development
- Present methodology and results to stakeholders
- Translate strategic questions into analytical approaches
Perks/Benefits
- Annual holiday
- Diversity and inclusion learning opportunities
- Employee-led networks
- Employer pension contribution
- Gym membership
- Income protection
- Life assurance
- Mentoring Programmes
- Private healthcare
Skills/Tech-stack
API | Classification | Clustering | DBT | Data Pipelines | Data cleaning | Dimensional Modeling | Dimensional Modelling | Feature Engineering | Machine Learning | Model Validation | OAuth | Python | REST | Regression | SQL | Statistics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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