Job Description

Job Requirements

• Bachelor’s Degree in Applied Statistics/Computer Science or similar qualification or relevant working experience (5 years of relevant working experience for senior roles).
• Strong mathematical, statistical, or actuarial background.
• Experienced in AI and Data Science, including:
  • Machine learning algorithms (supervised and unsupervised)
  • Deep learning frameworks (TensorFlow, PyTorch)
  • Natural Language Processing (NLP) techniques
  • Generative AI models (including GANs)
  • Computer vision (image processing, object detection, classification)
• Programming proficiency in Python for AI and data science tasks.
• Experience with big data platforms (Hadoop, Spark, etc.) and data visualization tools (Tableau, PowerBI).
• Excellent communication and interpersonal skills to effectively collaborate with internal and external stakeholders.
• Passion for continuous learning and staying current on emerging trends in AI and data science technologies.
• Excellent inter-personal and communication skills with both internal and external stakeholders and passionate about learning and staying updated in emerging trends and software technologies.
• Passion for continuous learning and staying current on emerging trends in AI and data science technologies.

Job Requirements