Internship: Data Analyst / Data Science

Internship: Data Analyst / Data Science:
Internship: Data Analyst / Data Science:
Primary Responsibilities:

• Analyzing data using statistical techniques and providing reports.
• Developing and implementing databases, data collection, AI, machine learning, models and/or systems.
• Collect, clean, and analyze large amounts of data from various sources using statistical and machine learning techniques.
• Develop and implement data-driven solutions to address business problems and optimize performance.
• Present and communicate data insights and recommendations using data visualization tools and reports.
• Collaborate with cross-functional teams and stakeholders to understand business needs and objectives.
• Stay updated with the latest developments and best practices in data science and analytics.
• Passionate for machine learning and research.

Specification and Requirement (Eligibility):

• Bachelor’s or master’s degree in data science, computer science, mathematics, statistics, or related field.
• Optional professional certifications and Google Data Studio.
• Proficient in programming languages such as R, Python and SQL.
• Familiar with data frameworks such as Hadoop, TensorFlow or Pytorch.
• Machine Learning and/or AI technical knowledge, e.g. neural network, random forest, spearman correlation, etc.
• Statistical and/or statistical model knowledge, e.g. MSE, RMSE, F1, Balanced Accuracy, Logistic Regression, etc.
• Knowledge of AI development, e.g. Generative AI, LLM, etc.
• Cloud GPU environment, e.g. Google colab, WatsonX, etc.
• Cloud hosting environment, e.g. AWS, GCS, Alicloud, IBM, etc.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and in a team environment.
• Available for a minimum of 3 months internship.