Research Data Scientist
Tasks
- Apply applied statistics and data collection
- Build machine learning models
- Build numerical models
- Collect process and clean data for analysis
- Communicate findings to diverse audiences
- Conduct data analysis
- Create data visualisations
- Create supervised and unsupervised learning solutions
- Design and deliver statistical analysis
- Develop AI-enabled workflows
- Develop natural language processing pipelines
- Follow data handling best practices
- Improve business processes using data science
- Integrate data science into research proposals
- Perform regression modelling
- Support researchers with quantitative methods
- Use version controlled repositories
- Write reproducible documented code
Perks/Benefits
- Company bikes
- Cycle to work scheme
- Employee wellbeing support
- Family-friendly policies
- Flexible leave
- Flexible working
- Free parking
- Fresh fruit
- Income protection
- Learning and development
- Life assurance
- Medical insurance
- Paid time off
- Pension
- Sick pay
Skills/Tech-stack
AWS | Applied statistics | Azure | C++ | Containerization | Data Linking | Data Manipulation | Data Visualization | Data cleaning | Data collection | Docker | GCP | Git | LLM | Language Processing | Linux | Machine Learning | Microsoft Excel | Microsoft Outlook | Microsoft PowerPoint | Microsoft Teams | Microsoft Word | Natural Language | Natural Language Processing | Podman | Power BI | Prompt engineering | Python | R | Regression | Regression Modelling | SQL | Stata | Supervised Learning | Unix | Unsupervised Learning | Version control
Education
Roles
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