Data Science Intern at Brave AI Lab

At Brave AI Lab, we are more than just a company; we are a community of innovators, thinkers, and doers committed to pushing the boundaries of what's possible with technology. We invite you to join us on this exciting journey as we build next-generation AI systems for a brave new world. Together, let's turn challenges into opportunities and ideas into realities.

Why Join Us

Cutting-Edge Technology: Gain hands-on experience with the latest in AI, including GPT, stable diffusion customization, vector-based solutions, and other advanced machine learning techniques.

Diverse Challenges: Tackle a wide array of challenges across different domains such as e-commerce, data enrichment, complex deduplications, and entity tagging, ensuring a rich and varied professional experience.

Impactful Work: Contribute to projects that make a real difference, from enhancing user experiences to improving data quality and accessibility.

Learning and Growth: Be part of a culture that values continuous learning and development, offering ample opportunities to enhance your skills and knowledge in AI and related fields.

Entrepreneurial Spirit: Embrace the entrepreneurial aspect of working in a dynamic and fast-paced environment, where your ideas and contributions can lead to groundbreaking solutions.

Data Science Intern

Major Responsibilities

• Use data analyses and statistical techniques to develop solutions and guide business decision-making.
• Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations.
• Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity.
• Analyze and solve business problems at their root.

Basic Qualifications

• Pursuing Bachelors or equivalent degree from a top tier Technology school .
• Record of doing Projects
• Minimum 6 months of Experience in Python.
• Problem-solving ability and passion for data.
• Excellent communication and data presentation skills.
• Fluent written and spoken English

Preferred Qualifications

• Hands-on experience and project-based learning in computer science, engineering, or mathematics are preferred.
• Academic experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
• Academic or Project Experience with Machine and Deep Learning toolkits such as TensorFlow and PyTorch.
• Familiarity with data processing with Python & SQL.