Senior Data Scientist

Overview

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The Opportunity

We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on machine learning and cloud-based solution development. The ideal candidate will have extensive experience in designing, developing, and deploying machine learning models and solutions on cloud platforms. This role requires a deep understanding of machine learning algorithms, cloud infrastructure, and the ability to work on complex data science projects.

Responsibilities

• Design, develop, and deploy machine learning models and solutions on cloud platforms such as AWS, Azure, or Google Cloud.
• Lead end-to-end machine learning projects, from data collection and preprocessing to model training, evaluation, and deployment.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
• Continuously monitor and improve the performance of deployed models through rigorous testing and validation.
• Provide technical leadership and mentorship to junior data scientists and engineers.
• Stay up-to-date with the latest advancements in machine learning and cloud technologies and apply them to solve complex business problems.
• 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

• Bachelors Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
• Master/PhD in Computer Science/ Machine learning or related field with more than 7 years of industry experience
• Strong experience in machine learning and data science, with a focus on developing and deploying models on cloud platforms.
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with cloud platforms such as Azure, or Google Cloud, including services like AWS SageMaker, Azure ML, or Google AI Platform.
• Deep understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with big data technologies such as Spark, Hadoop, or similar.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
  
  

Ideally, you’ll also need

• Experience with MLOps and CI/CD pipelines for machine learning model deployment.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Familiarity with data engineering and ETL processes.
• Experience with natural language processing (NLP) and computer vision.
• Knowledge of advanced statistical techniques and their applications.
• Experience with real-time data processing and streaming technologies.
  
  

Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If youre eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.

What Working At Presight Offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

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

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

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