Data Science Intern

About Mozn

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role

We are looking for a Data Science Intern to assist with providing support to one of our clients and working on AI use cases. You will work under the guidance of experienced Data Scientists and utilize their skills to analyze data, develop machine-learning models, and identify patterns in large datasets. You will gain hands-on experience in the field of Data Science and contribute to projects that will provide valuable insights and solutions for our clients.

What You'll Do

• Collaborate with the client and Data Science team to identify business needs and define project goals and objectives.
• Assist with analyzing data, statistical analysis, and the development of machine learning models.
• Support with the design and execution of experiments and simulations to detect patterns, trends, and insights in data.
• Handel the development of data visualizations and dashboards to communicate results and insights to stakeholders.
• Participate in team meetings and discussions, share progress updates, and provide suggestions for improving project outcomes.
• Assist with the data preparation process, including data cleaning, feature engineering, and data transformation.
• Research new data sources, technologies, and techniques to improve the quality and accuracy of data analyses and models.
• Participate in company-organized training programs, learning opportunities, and sessions to improve skills in the Data Science field.
• Maintain confidentiality and security of the client's data and information.
  
  

Qualifications

• B.S./M.S. in Computer Science, Mathematics, Statistics, Engineering, or related fields.
• Proficiency in programming languages such as Python, and familiarity with SQL.
• Knowledge of machine learning algorithms, and experience in working with data visualization tools like PowerBI.
• Experience in version control systems, such as Git.
• Familiarity with containerization frameworks, such as Docker.
• Strong problem-solving skills, including the ability to think creatively and critically analyze data to identify trends and insights
• Effective verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences.
• Ability to work independently and collaboratively in a team environment
• Ability to multitask, and work under pressure in a fast-paced environment
• Exceptional attention to detail, time management, and organizational skills.