Biostatistician & Data Science Specialist

Reneco International Wildlife Consultants LTD is seeking a Biostatistician & Data Science Specialist to join their team in Abu Dhabi Emirate, United Arab Emirates. This role is crucial for implementing advanced analytics, machine learning, and AI to support wildlife conservation and biodiversity management initiatives. Join a multicultural team and contribute to meaningful challenges with an international impact.

Reneco is a renowned consulting company with over 40 years of experience in managing ecology and conservation projects across North Africa, the Middle East, and Central Asia, with a primary focus on the preservation of Houbara bustard populations. The headquarters in Abu Dhabi houses over 80 employees, supporting functions like HR, Finance, IT, and Research. With a global presence in breeding centers, Reneco values its human capital and aims to hire qualified individuals for a stimulating work environment.

If you are passionate about leveraging data science for conservation, we encourage you to apply now and become part of our impactful mission.

Company Overview

Reneco International Wildlife Consultants LTD is a consulting firm dedicated to the management and coordination of ecology and conservation projects in North Africa, the Middle East, and Central Asia. For over 40 years, Reneco has been instrumental in preserving Houbara bustard populations through captive breeding, releases, and follow-up actions. The company emphasizes its strong research and data culture, utilizing advanced statistical, data science, and AI approaches for wildlife conservation and biodiversity management.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Qualifications: PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field.
• Experience: 2-5 years of experience in Data Science, Machine Learning, and/or Artificial Intelligence (academic or industry).

Key Responsibilities

• Combine advanced analytics, machine learning, AI, and operational implementation to deliver real-world impact.
• Support conservation, environmental monitoring, and applied research initiatives.
• Develop and implement AI/ML models on real-world datasets.
• Analyze, clean, and manage large and complex datasets.
• Develop analytical pipelines and perform data preprocessing and feature engineering.
• Apply modern AI applications, including LLMs, AI agents, computer vision, and geospatial analytics.

Requirements

• PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field.
• 2–5 years of experience in Data Science, Machine Learning, and/or Artificial Intelligence.
• Strong proficiency in Python and/or R for statistical analysis, machine learning, and data visualization.
• Strong proficiency in SQL and database management.
• Solid understanding of machine learning methodologies, model evaluation, and validation techniques.
• Familiarity with modern AI applications and cloud computing environments is an advantage.

Benefits

• Support in career development.
• Involvement in meaningful challenges with an international impact.
• Work within a multicultural team in a stimulating environment.
• Opportunity to contribute to wildlife conservation and biodiversity management.
• Exposure to large and diverse datasets spanning ecology, demography, and more.