Data Scientist

Overview

About Presight

Presight, an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder, is the region's leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI, and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies.

The Opportunity

Presight is looking for a qualified and proficient Senior Data Scientist to develop and deliver impactful data products across the organization—including recommendation engines, predictive models, business-logic automation, and machine learning. This role plays a key part in shaping the growth trajectory of Presight and in delivering next-generation analytics solutions and services.

Responsibilities

Key Responsibilities

Reporting to the Chief Technical Officer, you will apply data mining and statistical analysis techniques (e.g., hypothesis testing, segmentation, modeling) to analyze large volumes of data and derive insights that optimize business performance.

• Acquire and integrate data from multiple sources to generate insights aligned with business goals.
• Build and maintain complex data models, reporting systems, dashboards, and performance metrics that support business decision-making.
• Apply machine learning and AI technologies to extract insights from large datasets.
• Leverage statistical, mathematical, and cognitive techniques to generate management reports and business intelligence.
• Collaborate with departments to co-develop research plans, build models, and monitor outcomes that align with organizational objectives.
• Conduct market research, competitor analysis, trend studies, and benchmarking to support strategic decisions.
• Develop business intelligence solutions by integrating data analytics and organizational knowledge.
• Work with content developers to transform insights into engaging data visualizations and compelling narratives.
• Perform quantitative research and process mapping to identify improvement opportunities in cost, efficiency, and customer experience.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
  
  

Qualifications

Key Requirements

• Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, or related fields.
• Minimum 6 years of experience in executing complex research projects.
• At least 3 years of hands-on experience applying data science techniques in real-world projects, preferably within AI or analytics domains.
  
  

Preferred Qualifications

• Strong investigative mindset with a deep commitment to research.
• In-depth domain and market knowledge.
• Demonstrated ability to apply advanced statistical methods and machine learning in business contexts.
  
  

What We Look For

Performance-driven, inquisitive individuals with agility to adapt to ambiguity, eager to build meaningful collaborations and create customer-centric solutions, with a bias for action and passion for Big Data Analytics.