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Whiteshield

Data Science Manager - AI Economics Unit

  • Seen live on Whiteshield's site 3 days ago
  • Senior
Pay
Not stated
Location
Dubai, Dubai, United Arab Emirates
Open for
9+ days
First seen
Oct 26, 2026
Apply on Whiteshield's site (opens in a new tab)

Posting record

No flags

Open 9+ days

The posting's record, oldest first
  1. Whiteshield's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Whiteshield, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

5+ years of experience
“5+ years experience with Python” (quoted from the posting)
Master's degree asked for
“Masters degree in Computer Science or Data Science” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.

Role Overview

As a Data Science Manager , you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You’ll manage end-to-end data workflows — from ideation to delivery — and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.

Key Responsibilities

  • Lead data-driven projects across public policy and economic domains.
  • Design, automate, and optimize data pipelines and analytical workflows.
  • Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.
  • Develop and maintain interactive dashboards, ranking systems, and predictive models .
  • Translate technical results into clear, actionable policy recommendations .
  • Mentor junior data scientists and oversee code quality, documentation, and best practices.

Requirements

  • Masters degree in Computer Science or Data Science
  • Proven experience leading data projects or small teams
  • 5+ years experience with Python
  • 5+ years experience with SQL
  • 5+ years experience with APIs
  • Experience with machine learning or predictive modelling
  • Experience building data pipelines or ETL processes
  • Experience with data visualization (Power BI, Tableau, or similar)
  • Excellent English communication skills

Nice-to-haves

  • Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
  • Experience with economic or policy-related datasets
  • Experience working in consulting or public sector projects
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Familiarity with TensorFlow or PyTorch
  • Master’s degree in Data Science, Economics, or related field

Benefits

  • Real influence and access – Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
  • Room to innovate – If you see a better way, try it. We encourage new methods and actively pilot new technologies.
  • Cutting-edge tools – Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
  • Structured growth – Learn from senior experts through hands-on mentoring and project-based skill transfer.

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