Overview
This consultancy provides technical support and guidance for Data Science/Machine Learning (DS/ML) related work within UNICEF, aiming to accelerate positive results for children.
Key Responsibilities
- Providing DS/ML technical guidance, support and mentorship to Venture Fund supported projects and UNICEF teams.
- Supporting the technical exploration, development and rollout of early-stage DS/ML initiatives, models and prototypes.
- Working with stakeholders to support the understanding, adoption and scale of DS/ML initiatives.
- Facilitating project engagements between internal and external technical experts.
Required Experience
- A minimum of five years of relevant professional, practical experience.
Experience and exposure to relevant software development technologies, including:
- Strong coding capabilities in Python or R and with Data Science related libraries.
- Experience with analytics & visualization tools.
- Git and other open source software development tools.
- Experience with cloud computing platforms such as GCP, AWS, Azure or others.
- Experience with frontier AI models and coding tools for data science development.
- Demonstrated experience working with non-technical teams in formulating use cases, gathering business requirements, and involving non-technical stakeholders in project delivery.
- Practical experience with rapid prototyping and evaluation of user feedback.
- Demonstrated experience in development and deployment of ethical and responsible DS/ML practices, with examples in UNICEF program countries considered an asset.
- Demonstrated understanding of open source and open data principles and practices.
Qualifications
- An advanced university degree (Master’s or higher) in Computer Science, Data Science/Machine Learning, or another relevant field.
- *A first University Degree in a relevant field combined with 2 additional years of professional experience may be accepted in lieu of an Advanced University Degree.
