About the job (DSD) Data Science Intern
JOB DESCRIPTION FOR DATA SCIENCE INTERNSHIP
Job Details:
Location: Dubai (Close to Qudra), U.A.E
Job Role: Internship
Company Type: Government
Starting Date: June 2023, Immediately
Salary: Paid Internship ( 3 Months)
Visa: Not Provided
Driving License : Yes
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Responsibilities:
1.Conduct exploratory data analysis to gain a deep understanding of the data, identify patterns, and generate initial insights. Visualize data using graphs, charts, and other visual representations.
2.Assist in developing and implementing statistical models to solve business problems. Apply techniques such as regression analysis, clustering, classification, and time series analysis.
3.Support the development of machine learning models for prediction, classification, and recommendation tasks. Help with feature selection, model training, hyperparameter tuning, and model evaluation.
4.Create clear and compelling visualizations to communicate data insights effectively. Prepare reports and presentations summarizing findings and recommendations for both technical and non-technical audiences.
5.Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand project requirements and deliver valuable solutions.
6.Stay up-to-date with the latest advancements in data science and machine learning. Research and propose innovative approaches to improve data analysis methodologies and techniques.
Qualification:
1.Enrollment in a Bachelor's or Master's degree program in a relevant field in Data Science,
2.Strong analytical and problem-solving skills with a passion for working with data.
3.Knowledge of programming languages commonly used in data science, such as Python, Visualization, SQL, Statistics is a must.
4.Knowledge in BI tools, ML/DL, Linux, is a plus.
5.Excellent written and verbal communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders.
6.Strong attention to detail and ability to work independently as well as in a team-oriented environment.