SymphonyAI is offering internships for fresh graduates in Quality Assurance (QA). If you have a Bachelor’s or Master’s Degree, you can apply. Check out the application process and eligibility criteria below.
About Symphony AI
At Symphony AI, we’re creating the best AI software company for big businesses in important industries. We offer specialized AI tools to quickly solve tough problems and give valuable insights. This helps our customers work better, make more money, and run smoother operations.
Job Overview
We’re looking for a driven and skilled Data Science Intern to become part of our team. This internship provides a fantastic chance to get practical experience in the data science realm while making meaningful contributions to ongoing projects. The perfect candidate is enthusiastic about data analysis, possesses robust analytical abilities, and is keen to expand their knowledge in a dynamic setting.
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Symphony AI Data Science Internship Details
| Role | Data Science Intern |
| Experience | Freshers |
| Batch | Recent Batches |
| Job location | Bengaluru |
| Salary | 6.8 LPA (Expected) |
| Job ID | 1573 |
| Official Website | Symphony AI |
Job Description
- Assist in preparing, cleaning and collecting data for analysis.
- Work with the data science team to create and apply machine learning models and algorithms.
- Perform exploratory data analysis to uncover trends, patterns, and valuable insights.
- Aid in crafting and carrying out experiments to validate models and test hypotheses.
- Assist in building data visualization dashboards and reports.
- Contribute to active projects and offer insights to support data-driven decision-making.
- Stay informed about the newest advancements and top practices in data science and machine learning.
Qualification
- Pursuing a degree in Computer Science, Mathematics, Statistics, Engineering, or a related discipline. Candidates from IIT/NIT are preferred.
- Possessing robust programming capabilities in languages like Python, R, or Java.
- Having familiarity with data manipulation and analysis tools such as Pandas, NumPy, or SciPy.
- Demonstrating a foundational understanding of machine learning algorithms and methodologies.
- Hands-on experience in SQL for data manipulation and extraction.
- Exhibiting outstanding problem-solving and analytical skills.
- Having effective communication and collaboration abilities.
- Capable of working autonomously as well as in team settings.
