Principal Consultant, Data Science, Research & Evidence Practice
Tasks
- Conduct data analysis
- Define analysis plans
- Design machine learning and statistical models
- Develop AI pipelines
- Develop standardised tools and approaches
- Engage externally to promote data science and AI work
- Lead data science project delivery
- Lead proposal development
- Manage and train a team
- Manage data collection and data harvesting
- Oversee data production
- Present findings through reports and dashboards
- Provide technical quality assurance
- Shape data science business strategy
Perks/Benefits
- Access to UnMind app
- Contributory pension scheme
- Employee assistance programme
- Generous annual leave
- Hybrid working model
Skills/Tech-stack
AI Pipelines | Big Data | Causal Inference | Dashboard Development | Data Engineering | Data Visualization | Data Wrangling | Experiment design | Experimental Methods | Geospatial Mapping | Geospatial analysis | Imagery analysis | Language Models | Language Processing | Large Language Models | Machine Learning | Media Analytics | Natural Language | Natural Language Processing | Parallel Computing | Predictive Analytics | Python | Quasi Experimental | Quasi-experimental methods | R | Satellite Imagery Analysis | Satellite imagery | Social Media | Social Media Analytics | Survey data | Text Analytics
Education
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