SymphonyAI Bangalore Internship 2024; Data Science – Latest MNC Jobs

SymphonyAI invites applications for Internship program for Data Science for Bangalore locations. Candidates pursuing a degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.(IIT/NIT candidates preferred) & Strong programming skills in languages such as Python, R, or Java are eligible to apply. Candidates are advised to read all the information given below, before proceed to apply

Name of the Organization: SymphonyAI

Notification ID: 1573

Positions: Internship (Data Science)

Location: Bengaluru

Salary: As per company Norms

Qualifications:

• Pursuing a degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.(IIT/NIT candidates preferred)
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, or SciPy.
• Basic understanding of machine learning algorithms and techniques.
• Proficiency in SQL for data extraction and manipulation.
• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.
• Ability to work independently and in a team environment.

Job Description:

We are seeking a highly motivated and talented Data Science Intern to join our team. This internship offers an excellent opportunity to gain hands-on experience in the field of data science while contributing to real-world projects. The ideal candidate is passionate about data analysis, has strong analytical skills, and is eager to learn and grow in a fast-paced environment.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data for analysis.
• Collaborate with the data science team to develop and implement machine learning models and algorithms.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Assist in designing and executing experiments to test hypotheses and validate models.
• Support the development of data visualization dashboards and reports.
• Contribute to ongoing projects and provide insights to drive data-driven decision-making.
• Stay up-to-date with the latest developments and best practices in data science and machine learning.

Online Application Link – Click Here

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