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Malt Strategy
Ghinwa MoujaesGM

Ghinwa Moujaes

Data Scientist and Economist

€330/day
Valencia, ES
3-7 years
Generative AI
Data science
Large Language Models
Economic development
Public Policy

Average response time: 1 hour

About Ghinwa

I build AI tools that help governments make data-driven informed decisions - with speed, reliable systems and accuracy.


My background sits at an unusual intersection: PhD economist, data scientist, and product manager. I've spent the last few years translating that into practice — designing GenAI workflows for various government bodies, building diagnostic AI prototypes at the World Bank, and leading a cross-functional team developing an AI policy tool with the Agency Fund. What I care about most is the gap between what AI can do technically and what actually works when you put it in front of a policymaker. Closing that gap is the job.


🌱 Outside of work, I enjoy hiking, climbing, and reading, remaining curious and always eager to learn more.
Environmental and Sustainable Development
Civil and Social Organizations
Architecture and Urban Planning
Public Sector
Software Publishing

  • English

    Native or bilingual

  • Spanish

    Conversational

  • Arabic

    Native or bilingual

  • French

    Conversational

Can work on-site
Valencia (up to 50km)

Experience

  • PolicyCopilot
    Product Manager - Lead Data Scientist
    August 2025 - Today (10 months)
    Product in active development in collaboration with the World Bank and The Agency Fund

    • Grew from Lead Data Scientist into Product Team Lead, managing a cross-functional team of 7 (3 engineers, 1 UX designer, 3 data scientists) across backend, frontend, and data science workstreams
    • Leading product development for an AI-powered diagnostic tool for policy practitioners, built in collaboration with The Agency Fund and World Bank, analyzing 20+ development outcomes including maternal health, youth unemployment, and education
    • Driving product decisions through structured feedback loops between knowledge base curation, UX research, and engineering — balancing practitioner needs against technical constraints
    Generative AI Product management Public Policy Data science Model Evaluation
  • o‑xAI
    Principal Data Scientist
    November 2024 - Today (1 year and 7 months)
    • Leading engagement with Frontier Tech Hub | FCDO: Advising teams on AI adoption strategy, running workshops, and collaborating to deliver a fully functional AI prototype that extracts and analyses performance signals from public documents at scale
    • Partnering with government agencies to rapidly extract insights from large‑scale textual datasets (public consultations, surveys, internal and external policy documents) under tight deadlines
    • Designing custom AI analysis workflows tailored to sector‑specific challenges across justice reform, climate policy, and urban planning initiatives
    • Translating non‑technical stakeholder requirements into production‑ready AI solutions ‑ conducting needs assessments with domain experts developing evaluation‑criteria‑driven prompts
    • Building pipelines that combine theme extraction, sentiment analysis, and automated statistical reporting item
    • Deliver end‑to‑end solutions from workflow architecture, to implementation, to automated report generation, enabling clients to process months of manual analysis work in days while maintaining analytical rigor and policy relevance
    • Synthesize complex AI‑generated insights into actionable policy recommendations through co‑authored reports and stakeholder presentations, translating technical findings into narratives that resonate with government decision‑makers and non‑technical audiences
    • Tools used: Python, Azure OpenAI, OpenAI APIs, Langchain, GitHub
    Public Policy Consulting Project Management Large Language Models Generative AI
  • The World Bank Group
    Data Scientist
    October 2023 - January 2026 (2 years and 3 months)
    • Developing an AI‑powered diagnostic assistant for policy practitioners analyzing social sector challenges across 20+ developmental outcomes
    (maternal health, youth unemployment, education, etc.) using RAG‑based systems
    • Designed and implemented a multi‑modal query routing system that intelligently directs user queries between semantic search, statistical
    analysis, and visualization pipelines, improving response accuracy and reducing latency
    • Built comprehensive evaluation infrastructure using Langfuse for LLM observability, including annotation workflows, multi‑dimensional scoring
    systems, and automated performance tracking across conversation quality, citation accuracy, and response relevance
    • Engineered context‑aware follow‑up question generation to guide users through structured policy diagnosis, reducing user drop‑off and im‑
    proving session depth by suggesting relevant next steps
    • Led product development for a 3‑person engineering team, coordinating backend (FastAPI/Python), frontend (React/TypeScript), and data sci‑
    ence workstreams while managing stakeholder feedback loops between knowledge base curation, UX research, and technical implementation
    • Tools used: Python, LLM APIs, Langfuse, GitHub, Weaviate (vector DB)
    Generative AI Public Policy Large Language Models Data science
Check out Ghinwa's experience

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Education

  • PhD in Economics & Innovation (Cum Laude)
    INGENIO ‑ Universitat Politecnica deValencia
    2023
    PHD iN ECONOMiCS AND INNOVATiON (CUM LAUDE)
  • Masters of Science in Local Economic Development
    London School of Economics (LSE)
    2018
    MASTERS OF SCiENCE iN LOCAL

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