As a Data Science Intern, you will assist with providing support to clients and working on AI use cases. You will work under the guidance of experienced Data Scientists to analyze data, develop machine-learning models, and identify patterns in large datasets. This internship offers hands-on experience in the field of Data Science and provides the opportunity to contribute to projects that yield valuable insights and solutions for clients.
Key Responsibilities:
- Collaborate with clients and the Data Science team to identify business needs and define project goals and objectives.
- Assist with data analysis, statistical analysis, and the development of machine learning models.
- Support the design and execution of experiments and simulations to detect patterns, trends, and insights in data.
- Develop data visualizations and dashboards to communicate results and insights to stakeholders.
- Participate in team meetings, 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 training programs and learning opportunities to enhance skills in Data Science.
- Maintain confidentiality and security of client data and information.
Location: Riyadh, Riyadh, Saudi Arabia (On-site)
About the Company:
Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is committed to realizing Vision 2030 and has 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 major government organizations, large corporations, and startups, focusing on providing AI-powered products and solutions that ensure the growth and prosperity of digital humanity.
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 with data visualization tools like PowerBI.
- Experience with version control systems, such as Git.
- Familiarity with containerization frameworks, such as Docker.
- Strong problem-solving skills, with the ability to think creatively and critically analyze data.
- 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.
- Capacity to multitask and work under pressure in a fast-paced environment.
- Exceptional attention to detail, time management, and organizational skills.
