SymphonyAI Recruitment 2024 for Internship – Data Science | Apply Now

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SymphonyAI Recruitment 2024 for its Internship – Data Science, SymphonyAI Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. If you are interested, Please apply as soon as possible.

Company Name: SymphonyAI

Role: Internship – Data Science

Location: Bangalore

Experience: Freshers

Qualification: Bachelors/Masters Degree

Batch: Any Batch

Job Type: Full Time

Salary: Rs.6.8LPA(Expected)

SymphonyAI Recruitment 2024

Job Description:

At SymphonyAI, we are building the leading AI SaaS company for enterprise transformation across the most critical industry sectors. We provide focused AI applications designed to rapidly solve challenging business problems and deliver breakthrough insights, increasing operational efficiencies and growing revenue for customers.Leadsquared Careers 2024: Hiring For Intern – Information Security

Position Overview:

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.

Requirements:

  • 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.

Responsibility:

  • 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.

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