• Responsible for assisting in the collection, cleaning, and preprocessing of data sets used for analysis and modeling.
• You will assist in performing EDA on the collected data to uncover patterns, trends, and anomalies.
• Responsible for developing and testing machine learning models, including both supervised and unsupervised learning techniques.
• You will assist in the development and deployment of data pipelines for data processing, analysis, and model deployment.
• You will be responsible for communicating insights and findings from data analysis and modeling to stakeholders.
• You will assist in the development and maintenance of data infrastructure, including databases and data warehouses.
• You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders to drive data-driven decision-making.
• You will stay up-to-date with the latest industry developments, technologies, and techniques in data science and machine learning.

• Proficiency in one or more programming languages used in data science such as Python, R, SQL, or Java is required. Knowledge of data structures, algorithms, and database systems is also important.
• Knowledge of statistical analysis, probability theory, and machine learning algorithms is essential. Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib would be a plus.
• Strong communication skills are important in this role as you'll be expected to present complex data findings to various stakeholders. Ability to work collaboratively in a team environment is also important.
• A data science engineer must be able to identify problems, develop hypotheses, and design experiments to test those hypotheses. Critical thinking skills and ability to work under pressure to meet deadlines are also critical.
• Prior experience in data science, machine learning, or software engineering would be a plus. 
• The candidate should demonstrate a willingness to learn and adapt to new technologies, tools, and processes. 
• Internship candidates are expected to have a good foundation in data science and programming, but they will also learn a lot on the job.
• Salary

A bachelor's degree in computer science, statistics, or mathematics is required.

After successful completion of the probation period :

• Yearly two festival bonuses
• Yearly increment based on performance
• Provident Fund
• Annual, casual, medical leave as per company policy
• Short leave as per company policy
• Maternity leave as per company policy
• Training leave as per company policy
• Training costs are paid by the company as per company policy
• Self-learning opportunities, professional training & sessions.
• Opportunity to work with a friendly and creative team