Job Description

The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven products, our team ensures a seamless data management experience for the entire organization. 

Most importantly, the Data Science team positions itself as the driving force behind the company’s multifaceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape. 

About the Role:

We are looking for a motivated Data Intern to join our team and support data-related tasks, including data collection, cleaning, analysis, and visualization. This internship is a great opportunity to gain hands-on experience with real-world datasets and work closely with experienced data professionals.

Primary Responsibilities: 

•  Develop a robust data-driven solutions including ETL, Analysis, Visualization & Automation. 
•  Assist in collecting, cleaning, and organizing data from various sources.
•  Support the team in writing clean, efficient, and well-documented code in languages such as R, Python or SQL. 
•  Help create dashboards and reports for internal and external use.
•  Work on ad-hoc tasks and small projects as assigned by the data team.
•  Stay current with industry trends and advancements in data science, programming and FinTech. 

Job Requirements

 Requirements:

•  Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields. 
•  Ability to work with programming languages such as R or Python for data analytics is an added advantage. 
•  Experience with Cloud technologies such as AWS, Azure, etc. 
•  Solid understanding on relational database systems and data architecture principles. SQL skills required. 
•  Strong attention to detail and problem-solving skills.
•  Ability to work in a fast-paced agile development environment. 
•  Effective communication and collaboration abilities.

Skills