Presight
Data Scientist
PresightUnited Arab Emirates9 hours ago
Full-timeEngineering, Information Technology
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 Data Scientist to develop and deliver AI-powered capabilities for public safety solutions and products. This role focuses on LLMs, agentic & conversational AI, and retrieval-augmented generation to extract insights, summarize information, and support decision-making in high-stakes operational environments. The candidate will play a pivotal role in shaping next-generation AI workflows, ensuring outputs are accurate, explainable, and aligned with organizational objectives.

Responsibilities

Key Responsibilities

  • Innovate, design, build, and deploy autonomous AI agents and LLM-powered solutions that enhance workflow automation, summarization, and decision-support in public safety and operational contexts.
  • Develop agentic systems capable of interacting with APIs, querying internal knowledge sources, and reasoning over structured and unstructured data.
  • Develop AI tools and integrate LLMs with external systems, leveraging frameworks such as MCP to streamline interactions and enable agentic workflows.
  • Collaborate with data scientists, MLOps engineers, and software engineers to design and implement agentic systems and automated workflows.
  • Develop evaluation frameworks to measure model and agent performance, scalability, safety, and impact on operational workflows.
  • Contribute to shared AI infrastructure, including reusable APIs, prompt libraries, model registries, and best-practice guidelines for agent development.
  • Stay aligned with the latest research, open-source advancements, and emerging AI/ML technologies, acting as an evangelist to promote adoption of cutting-edge solutions.
  • Engage with stakeholders and clients by presenting demos, gathering feedback, and collaborating on-site as required to ensure successful delivery.
  • 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 or Master’s degree in AI, data science, computer science, or related field.
  • Minimum 3 years of professional experience in AI/NLP development
  • Hands-on experience in LLMs, prompt engineering, conversational and agentic AI frameworks.
  • Strong programming skills in Python, with experience in PyTorch.
  • Experience with Hugging Face ecosystem, embeddings, vector databases, RAG pipelines, and agentic AI frameworks such as LangFlow, LangGraph, and DIFY.
  • Experience building and integrating knowledge graphs for entity linking, relationship modelling, and structured reasoning.
  • Familiarity with recommender systems and traditional ML algorithms for decision-support applications.
  • Hands-on experience with Docker, API development, cloud platforms (AWS, GCP, or Azure), GPU clusters, and high-performance computing environments.
  • Proficient with Git/version control, and reproducible development practices.
  • Proven track record of deploying AI/LLM solutions for real-world applications.
  • Strong analytical and evaluation skills, with experience in model metrics, error analysis, and bias detection.

Preferred Qualifications

  • Experience designing and deploying autonomous or agentic AI systems in operational workflows in production environments.
  • Practical experience with graph databases (Neo4j, AWS Neptune, etc.) and graph-based reasoning approaches.
  • Exposure to ethical AI frameworks, compliance, and explainable AI techniques.

What We Look For

Inquisitive, performance-driven individuals with a bias for action, who can work effectively under ambiguity and rapidly iterate on AI solutions. The ideal candidate will have strong technical skills, the ability to collaborate well with the team, and a passion for building trustworthy AI capabilities that deliver meaningful operational impact.

What Working At Presight Offers

Culture: An open, diverse and inclusive environment with a global vision and focus on innovation.

Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.

Rewards: Competitive remuneration with perks including healthcare, education support, and leave benefits.

Key Skills

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