Accepting Applications
Full-time
On-site
LinkedIn
Posted 4 days, 12 hours ago
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0 applications
Job Description
Lead Data Scientist
📍 Abu Dhabi, On Site
In this position you will lead and inspire a team of Data Scientists in delivering advanced analytics and AI/ML solutions. For this position you must have experience working in highly regulated industries (government, banking, financial services etc.)
🔑 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