Data Science and Analytics Intern

Role Overview: As a Data Science and AI Engineer, your primary role will involve working on data science, analytics, AI/ML development, and data engineering projects. You will be responsible for assisting in collecting, cleaning, preprocessing datasets, performing data analysis, developing statistical models, and creating data visualizations to communicate insights. Additionally, you will contribute to AI/ML model building, training, evaluation, and deployment, as well as data pipeline development and maintenance. Key Responsibilities: - Assist in collecting, cleaning, and preprocessing datasets for analysis - Perform exploratory data analysis to identify patterns and insights - Support the development of statistical models and machine learning algorithms - Create data visualizations and reports to communicate findings - Help maintain and update existing analytical dashboards - Contribute to building and training machine learning models under guidance - Work with supervised and unsupervised learning techniques - Assist in model evaluation and performance optimization - Learn and implement deep learning frameworks like TensorFlow or PyTorch - Support the deployment and monitoring of ML models - Help build and maintain data pipelines for data processing - Write SQL queries to extract and transform data - Assist in data quality checks and validation processes - Learn big data technologies and distributed computing concepts Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, or related field - Proficiency in programming languages such as Python, R, or Java - Strong understanding of machine learning algorithms and statistical models - Experience with data visualization tools like Tableau or Power BI - Familiarity with big data technologies and distributed computing - Excellent problem-solving and analytical skills Additional Details: The company offers a competitive salary ranging from 10,598.67 to 33,897.44 per month along with benefits including cell phone reimbursement, health insurance, and Provident Fund. The work location is in person. Role Overview: As a Data Science and AI Engineer, your primary role will involve working on data science, analytics, AI/ML development, and data engineering projects. You will be responsible for assisting in collecting, cleaning, preprocessing datasets, performing data analysis, developing statistical models, and creating data visualizations to communicate insights. Additionally, you will contribute to AI/ML model building, training, evaluation, and deployment, as well as data pipeline development and maintenance. Key Responsibilities: - Assist in collecting, cleaning, and preprocessing datasets for analysis - Perform exploratory data analysis to identify patterns and insights - Support the development of statistical models and machine learning algorithms - Create data visualizations and reports to communicate findings - Help maintain and update existing analytical dashboards - Contribute to building and training machine learning models under guidance - Work with supervised and unsupervised learning techniques - Assist in model evaluation and performance optimization - Learn and implement deep learning frameworks like TensorFlow or PyTorch - Support the deployment and monitoring of ML models - Help build and maintain data pipelines for data processing - Write SQL queries to extract and transform data - Assist in data quality checks and validation processes - Learn big data technologies and distributed computing concepts Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, or related field - Proficiency in programming languages such as Python, R, or Java - Strong understanding of machine learning algorithms and statistical models - Experience with data visualization tools like Tableau or Power BI - Familiarity with big data technologies and distributed computing - Excellent problem-solving and analytical skills Additional Details: The company offers a competitive salary ranging from 10,598.67 to 33,897.44 per month along with benefits including cell phone reimbursement, health insurance, and Provident Fund. The work location is in person.