AI Enablement Lead building training, curriculum and metrics for Valtech’s AI - native digital experience consultancy. Enabling practitioners, new hires and teams through AI - native SDLC transformation.
About the role
- UNESCO consultant analyzing learning assessment data with AI-assisted methods. Developing policy insights, reproducible protocols, and national analyst capacity.
Responsibilities
- Lead a demonstration project in one case-study country, preferably in Southern or Eastern Africa
- Produce policy-relevant tables, figures and findings on learning quality and equity from the country's assessment data
- Develop and field-test an updated analytical framework with AI-assisted analytical protocols for analysts in other countries
- Strengthen the capacity of national analysts and policy officials
- Recommend how the approach can be replicated in other countries
- Consult UIS and national counterparts to confirm the country, datasets and participants
- Prepare an inception note with the analytical plan and work plan
- Review dataset quality, documentation, limitations, sample design and feasible analyses
- Work with national analysts to identify priority policy questions and useful analyses
- Develop and test AI-assisted protocols, including methods accounting for complex sample design and plausible values, such as BRR/PV standard errors
- Work intensively with national analysts for approximately four days during the in-country mission
- Meet senior policy officials to examine findings, implications and policy questions
- Prepare a policy-relevant country report with statistical tables, figures and findings
- Draft the updated analytical framework as a UIS publication
- Prepare a final report covering lessons learned, assessment of the demonstration and recommendations for replication
- Produce and submit deliverables according to the specified deadlines
Requirements
- A PhD or equivalent advanced degree in statistics, econometrics, psychometrics, education or a related field; OR a Master's degree in a related field
- Minimum of ten (10) years of relevant professional experience in statistics, psychometrics, education data analysis or a related field
- Demonstrated expertise in analysing large-scale learning assessment data, including international or regional learning assessment programmes
- Senior-level experience in multilevel modelling and complex survey data analysis, including estimation using replicate weights and plausible values
- Demonstrated experience in policy-oriented analysis of learning assessment data
- Experience using, or the ability to develop, AI-assisted and reproducible analytical workflows
- Proven experience in capacity building and training delivery, including work with national analysts and senior policy officials; at least five (5) years of experience or three (3) comparable assignments, with references available upon request
- Proficiency in at least one statistical software package, such as HLM, R, or Stata, sufficient to verify AI-assisted analyses
- Ability to design reproducible analytical protocols and document responsible use of AI tools in line with data-protection requirements
- Excellent drafting skills, with proven ability to produce technical reports, publications and policy-oriented outputs for diverse audiences
- Ability to work independently in a remote setting and meet deadlines
- Excellent proficiency in English, written and spoken, required
- Before travelling, must complete UN BSAFE security awareness training and obtain security clearance through the UNDSS Travel Request Information Process (TRIP)
- Daily rate and estimated number of working days must be quoted in a single currency: EUR, USD, CAD, or GBP
- At least two references from comparable assignments
Benefits
- International travel costs agreed as a separate lump sum and may be paid in advance
- Payment linked to satisfactory delivery and acceptance of deliverables, in three instalments: 20%, 40%, and 40%
- Consultant credited as author of the analytical framework publication in accordance with UIS publication policy
- Travel arrangements made in accordance with UNESCO rules and procedures
- Opportunity to contribute to a UIS publication
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