Lead Data Scientist

Lead Data Scientist

Key Responsibilities

• Manage the end-to-end delivery of data science projects, ensuring alignment with organization requirements and industry standards.
• Recruit, mentor, and develop Data Scientists, fostering a collaborative, innovative, and inclusive team culture.
• Engage with Stakeholder, collaborate with business leaders, product managers, engineers, and regulatory bodies to identify opportunities and translate business needs into AI and Machine Learning solutions.
• Ensure Quality & Compliance on all data science work adheres to internal governance, data privacy, and regulatory standards, including UAE-specific regulations.
• Fuel innovation by promoting continuous improvement by introducing new tools, techniques, and methodologies, and encourage experimentation within the team.
• Communicate project progress, insights, and impact to technical and non-technical audiences, including senior leadership and regulatory stakeholders.

For this position you must have:

• 5-8 years of experience in machine learning and data science, with proven technical leadership.
• Expertise in Python, machine learning frameworks (e.g. PyTorch), data engineering tools (e.g., Spark).
• Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
• Proven track record of delivering complex data science projects in production environments, preferably within regulated industries (banking, government or financial services).
• Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI).
• Experience leading, coaching, and inspiring data scientists teams.
• Strong ability to translate business challenges into data science solutions and communicate value to stakeholders.
• Master’s or PhD in Computer Science, Data Science, or a related field.