Job Description

 Key Responsibilities

- Assist in collecting, cleaning, labelling, and pre-processing data from various sources.

- Research on domain knowledge and assisting in setting up proof-of-concepts.

- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights.

- Support the development and testing of predictive models and machine learning algorithms.

- Participate in AI software development

- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

- Participate in the creation of data visualizations, dashboards, and reports to communicate findings.

- Stay updated on the latest trends, tools, and best practices in data science and machine learning.

Job Requirements

 Qualifications

- Actively pursuing or have recently obtained a degree in Data Science, Computer Science, Statistics, Mathematics, or a similar discipline.

- Excellent analytical and problem-solving abilities, coupled with a strong enthusiasm for data.

- Proficiency in programming languages including Python, R, or SQL.

- Knowledge of data analysis libraries such as pandas, NumPy, and visualization frameworks like Matplotlib or Seaborn.

- Fundamental understanding of machine learning algorithms and methodologies.

- Willingness to learn and adapt to new challenges.

- Ideally in their final semester.

Preferred Qualifications

- Familiarity with data visualization tools such as Tableau or Power BI.

- Understanding of cloud computing platforms like AWS, Azure, or Google Cloud.

- Experience with version control tools such as Git.

- Familiarity with big data technologies such as Hadoop or Spark.

Skills