Artificial Intelligence Specialist

Kingston Stanley

Dubai

On-site

AED 300,000 - 520,000

Full time

7 days ago
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Job summary

Kingston Stanley is seeking a Data & AI Specialist to join a client, supporting PR, communications, and business growth through AI-powered analytics, measurement, and automation.

This role sits at the intersection of data science, artificial intelligence, media intelligence, and strategic communications, helping teams turn complex data into actionable insights while driving the responsible adoption of AI across the business.

Qualifications

  • Bachelor's degree or equivalent experience in data science/CS/analytics/statistics.
  • 5+ years of experience in data analytics, AI, ML, or business analytics.
  • Strong Python and SQL skills.
  • Experience with BI tools such as Power BI, Tableau, Looker Studio, or Excel.
  • Hands-on experience with generative AI, LLMs, prompt engineering, or NLP.

Responsibilities

  • Integrate AI into agency workflows and communications processes.
  • Design AI-driven solutions for media analysis, sentiment, audience insights, search visibility, and content performance.
  • Build dashboards, automated workflows, prompts, and lightweight AI tools.
  • Use AI and analytics to support PR measurement, reputation tracking, trend analysis, and strategic decision-making.
  • Partner with strategy, digital, creative, and analytics teams to develop data-driven solutions.
  • Evaluate AI outputs for accuracy, bias, transparency, and effectiveness.

Skills

Python
SQL
Power BI
Tableau
Looker Studio
Excel
NLP
Prompt engineering
Data analytics
AI governance
Stakeholder communication

Education

Bachelor's degree in Data Science/Computer Science/Analytics/Statistics

Tools

Power BI
Tableau
Looker Studio
Excel

Job description

We're looking for a Data & AI Specialist to join one of our clients, supporting PR, communications, and business growth through AI-powered analytics, measurement, and automation. This role sits at the intersection of data science, artificial intelligence, media intelligence, and strategic communications, helping teams turn complex data into actionable insights while driving the responsible adoption of AI across the business.

Key Responsibilities
  • Integrate AI into agency workflows and communications processes.
  • Design AI-driven solutions for media analysis, sentiment, audience insights, search visibility, and content performance.
  • Build dashboards, automated workflows, prompts, and lightweight AI tools.
  • Use AI and analytics to support PR measurement, reputation tracking, trend analysis, and strategic decision-making.
  • Partner with strategy, digital, creative, and analytics teams to develop data-driven solutions.
  • Evaluate AI outputs for accuracy, bias, transparency, and effectiveness.
  • Research emerging AI technologies and measurement methodologies.
  • Document processes and ensure insights are clear and trustworthy.
Requirements
  • Bachelor's degree in Data Science, Computer Science, Analytics, Statistics, or a related field (or equivalent experience).
  • 5+ years' experience in data analytics, AI, machine learning, or business analytics.
  • Strong Python and SQL skills.
  • Experience with Power BI, Tableau, Looker Studio, Excel, or similar BI tools.
  • Hands-on experience with generative AI, large language models, prompt engineering, or NLP.
  • Understanding of PR, media intelligence, social listening, reputation, or digital communications measurement.
  • Ability to translate complex data into clear, actionable business insights.
Preferred
  • Experience in PR analytics, media intelligence, communications strategy, or digital marketing analytics.
  • Experience building dashboards, reporting automation, and internal AI tools.
  • Knowledge of AI governance, bias evaluation, and explainable AI.
  • Arabic language skills are an advantage but not required.
Ideal Candidate

A technically strong, commercially minded professional who enjoys solving business problems with AI and data. You'll be comfortable working across technical and non-technical teams, building practical AI solutions, and helping shape the future of communications through data-driven insight while ensuring human judgement remains at the centre of decision-making.

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