Work with project teams and clients to use advanced analytics to drive social impact
Build models that help locate out-of-school children, LLM-powered co-pilot for teachers or healthworkers, or agentic solutions to help citizens access benefits
End-to-end involvement: from problem scoping and tool design, to deployment, and providing hands-on support to partners
Collaborate closely with multidisciplinary teams to create practical tools that solve urgent problems
Dedicate 10% of time to learning new skills and side projects
Requirements
Proficiency working in Python is required
Proficiency in understanding and coding standard supervised and unsupervised machine learning algorithms and components of the data science pipeline - data cleaning, feature selection, cross-validation, parameter tuning, etc.
Experience building solutions using Large Language Model
Sound foundations in statistics and probability
Working knowledge of SQL
B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field
Proven ability to work alone and with teams in a dynamic, multicultural environment
Passion for improving lives through evidence-informed policy
Strong oral and written communication skills in English
Fluency in languages spoken in countries where IDinsight works is a plus.
Strong values aligned with IDinsight’s stated values.
Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
Deeply passionate about global development and improving lives in disadvantaged populations.
Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.
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