Emirates Global Aluminium is the world’s largest ‘premium aluminium’ producer and the biggest industrial company in the United Arab Emirates outside oil and gas. EGA is owned by Mubadala Investment Company of Abu Dhabi and Investment Corporation of Dubai, and is the largest company jointly owned by the two Emirates. As a team of more than 7,000 people around the world, we share a drive to fulfil our purpose and achieve our mission, while living our values. Our leadership ensures that we demonstrate a culture of innovation and responsibility as well as a robust corporate governance for our long-term success. Aluminium is among the world’s most versatile metals, and our global customers transform it into products that make modern life possible. Our aluminium is the biggest made-in-the-UAE export after oil and gas. We produce one-in-every 25 tonnes of aluminium made worldwide - four per cent of the world’s total production and almost half of the aluminium produced in the Gulf. EGA is an integrated aluminium producer, with operations from bauxite mining to the production of cast metal and recycling. EGA’s operations include an aluminium smelter and an alumina refinery in Abu Dhabi, an aluminium smelter in Dubai, and a bauxite mine in the Republic of Guinea and a specialty foundry in Germany, and an aluminium recycling plant in the United States....

Head of Data Science

Dubai, United Arab Emirates

Job Industry: Information Technology and Data Analytics
Job Function: Data Science and Artificial Intelligence
Job Type: Full-Time
Salary: Competitive

Job Description

The Head of Data Science is responsible for leading the data science team and overseeing the development of advanced analytics, machine learning models, and AI-driven solutions at Emirates Global Aluminium. This role plays a key part in defining and executing the company’s data science strategy, working closely with business leaders to identify and solve complex business challenges through data-driven insights. The position requires strong leadership, technical expertise, and collaboration across data engineering, AI, and digital transformation teams.

Key Responsibilities

- Lead and execute the data science and AI strategy, ensuring alignment with business objectives
- Manage and mentor a team of data scientists, fostering a culture of innovation and excellence
- Collaborate with business units to define technical problem statements and develop data-driven solutions
- Develop and implement machine learning, deep learning, and predictive analytics models for business applications
- Ensure high-quality data science standards, frameworks, and tools are adopted within the organization
- Advocate and educate stakeholders on data-driven decision-making and AI adoption
- Oversee the integration of AI and machine learning solutions into business applications and analytics platforms
- Define and maintain best practices for data modeling, feature engineering, and algorithm development
- Partner with data engineers and architects to ensure scalable data pipelines and infrastructure
- Stay up to date with industry trends and emerging technologies in AI, ML, and data science
- Lead the development of AI governance frameworks, ensuring ethical and responsible AI deployment
- Monitor and evaluate model performance, ensuring continuous improvement and optimization
- Build relationships with external partners, vendors, and academic institutions to drive innovation

Authority and Decision-Making

- Lead the execution of the company’s AI and data science roadmap
- Define and enforce best practices in data science methodologies and tools
- Approve and prioritize AI and machine learning projects based on business impact
- Manage hiring, training, and resource allocation for the data science team
- Align AI initiatives with IT, digital, and business transformation strategies
- Oversee AI governance, ensuring compliance with ethical and regulatory standards
- Address and resolve major challenges related to data science and model deployment

Qualifications and Experience

- Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, or a related field
- Minimum 10 years of experience in data science, analytics, and AI applications
- Proven track record of leading and managing data science teams in a corporate environment
- Strong programming skills in Python, R, and SQL, with experience in machine learning frameworks
- Proficiency in AI techniques, including clustering, classification, regression, NLP, time series forecasting, and deep learning
- Expertise in working with large datasets, data pipelines, and feature engineering
- Experience with cloud-based AI platforms such as Azure, AWS, or Google Cloud
- Strong knowledge of big data technologies, including Hadoop, Spark, and distributed computing
- Experience with data visualization tools such as Tableau, Power BI, R Shiny, or Plotly
- Familiarity with AI governance, ethics, and compliance best practices
- Excellent communication skills with the ability to translate complex data insights into actionable business strategies
- Strong ability to influence senior stakeholders and drive AI adoption across the organization

Leadership and Behavioral Skills

- Strategic thinker with the ability to align AI initiatives with business goals
- Strong problem-solving and analytical skills to drive data-driven decision-making
- Ability to lead, mentor, and develop a high-performing data science team
- Passion for innovation and continuous learning in AI and machine learning technologies
- Strong collaboration skills, working with cross-functional teams in IT, digital, and business units

Why Join EGA

- Lead AI-driven transformation in one of the UAE’s most advanced industrial organizations
- Work on cutting-edge AI, ML, and big data technologies in a fast-paced environment
- Collaborate with top industry experts and drive real-world impact through AI and analytics
- Competitive salary and career growth opportunities in a leading digital transformation initiative

This role is ideal for a data science leader with deep expertise in AI, machine learning, and analytics, looking to drive innovation and business transformation through advanced data solutions.

Job Title Head of Data Science Job Description Head of Data Science Dubai, United Arab Emirates Job Industry: Information Technology and Data Analytics Job Function: Data Science and Artificial Intelligence Job Type: Full-Time Salary: Competitive Job Description The Head of Data Science is responsible for leading the data science team and overseeing the development of advanced analytics, machine learning models, and AI-driven solutions at Emirates Global Aluminium. This role plays a key part in defining and executing the company’s data science strategy, working closely with business leaders to identify and solve complex business challenges through data-driven insights. The position requires strong leadership, technical expertise, and collaboration across data engineering, AI, and digital transformation teams. Key Responsibilities - Lead and execute the data science and AI strategy, ensuring alignment with business objectives - Manage and mentor a team of data scientists, fostering a culture of innovation and excellence - Collaborate with business units to define technical problem statements and develop data-driven solutions - Develop and implement machine learning, deep learning, and predictive analytics models for business applications - Ensure high-quality data science standards, frameworks, and tools are adopted within the organization - Advocate and educate stakeholders on data-driven decision-making and AI adoption - Oversee the integration of AI and machine learning solutions into business applications and analytics platforms - Define and maintain best practices for data modeling, feature engineering, and algorithm development - Partner with data engineers and architects to ensure scalable data pipelines and infrastructure - Stay up to date with industry trends and emerging technologies in AI, ML, and data science - Lead the development of AI governance frameworks, ensuring ethical and responsible AI deployment - Monitor and evaluate model performance, ensuring continuous improvement and optimization - Build relationships with external partners, vendors, and academic institutions to drive innovation Authority and Decision-Making - Lead the execution of the company’s AI and data science roadmap - Define and enforce best practices in data science methodologies and tools - Approve and prioritize AI and machine learning projects based on business impact - Manage hiring, training, and resource allocation for the data science team - Align AI initiatives with IT, digital, and business transformation strategies - Oversee AI governance, ensuring compliance with ethical and regulatory standards - Address and resolve major challenges related to data science and model deployment Qualifications and Experience - Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, or a related field - Minimum 10 years of experience in data science, analytics, and AI applications - Proven track record of leading and managing data science teams in a corporate environment - Strong programming skills in Python, R, and SQL, with experience in machine learning frameworks - Proficiency in AI techniques, including clustering, classification, regression, NLP, time series forecasting, and deep learning - Expertise in working with large datasets, data pipelines, and feature engineering - Experience with cloud-based AI platforms such as Azure, AWS, or Google Cloud - Strong knowledge of big data technologies, including Hadoop, Spark, and distributed computing - Experience with data visualization tools such as Tableau, Power BI, R Shiny, or Plotly - Familiarity with AI governance, ethics, and compliance best practices - Excellent communication skills with the ability to translate complex data insights into actionable business strategies - Strong ability to influence senior stakeholders and drive AI adoption across the organization Leadership and Behavioral Skills - Strategic thinker with the ability to align AI initiatives with business goals - Strong problem-solving and analytical skills to drive data-driven decision-making - Ability to lead, mentor, and develop a high-performing data science team - Passion for innovation and continuous learning in AI and machine learning technologies - Strong collaboration skills, working with cross-functional teams in IT, digital, and business units Why Join EGA - Lead AI-driven transformation in one of the UAE’s most advanced industrial organizations - Work on cutting-edge AI, ML, and big data technologies in a fast-paced environment - Collaborate with top industry experts and drive real-world impact through AI and analytics - Competitive salary and career growth opportunities in a leading digital transformation initiative This role is ideal for a data science leader with deep expertise in AI, machine learning, and analytics, looking to drive innovation and business transformation through advanced data solutions. Post Details

Job Start Date Salary from 0.00 Salary to 0.00 Number of Vacancies 1 Location Job Location -> UAE Dubai Location City Dubai

Desired Candidate's Profile Gender No Preference Nationality Candidate Current Location Job Classification Job Type Job Type -> Full-time Industry Type Job Industry -> I T and Services Job Function Job Functions -> Information Technology Employers Details Company Emirates Global Aluminium (EGA​) Contact Person HR Manager Designation HR Manager Telephone +97148846666 Email csrega.ae