Responsibilities of the Candidate:

Assist in data collection, cleaning, and preprocessing for various projects.
Learn and apply machine learning algorithms and techniques to solve business problems.
Collaborate with senior data scientists and technical teams to understand project requirements.
Develop and maintain data pipelines and models using modern data science tools.
Conduct data analysis and interpret results, providing insights to stakeholders.
Participate in project planning and design, offering data-driven recommendations.
Stay updated with the latest trends and advancements in data science and AI.
Document and present project findings and progress to the team and clients.
Ensure data security and privacy practices are maintained throughout projects.
Support the team in delivering high-quality solutions to clients.

Requirements:

A bachelor's or master's degree in a relevant field, such as Computer Science, Data Science, or a related discipline.
Strong analytical and problem-solving skills, with a passion for working with data.
Basic knowledge of programming languages like Python or R for data analysis.
Familiarity with machine learning concepts and algorithms is preferred.
Excellent communication skills, both written and verbal, for effective collaboration.
Ability to work independently and manage time efficiently.
A proactive and curious mindset, eager to learn and explore new technologies.
Basic understanding of data visualization tools is an asset.
Willingness to continuously learn and adapt to new industry trends.
A positive attitude and a strong work ethic are essential.