Job Details
Job Location: India - India, State/Province
Salary Range: Undisclosed
Description
**Job Requisition: Data Science Intern**
**About Acadia:**
Acadia is a leading agency known for its innovative approach and commitment to excellence in data science and analytics. We strive to deliver exceptional results for our diverse clientele through cutting-edge solutions and a dynamic work culture.
**Position:** Data Science Intern
**Location:** India, Fully Remote
**Duration:** 4 months
**Remuneration:** INR 30,000/month during the internship
**Role Overview:**
We are seeking a motivated Data Science Intern with strong analytical and problem-solving skills. The ideal candidate should have proficiency in Python, SQL, and MS Excel/Google Sheets, along with a Bachelor's degree in Engineering, Mathematics, or a related quantitative field. Prior experience in an analytical or data science discipline is preferred but not mandatory.
**Responsibilities:**
- Engage in projects that demonstrate analytical/data science processes.
- Collaborate with a fast-paced team to deliver data-driven insights.
- Independently learn and develop data science skills.
**Work Schedule:**
- Month 1: 12 PM - 9 PM IST
- Month 2: 1 PM - 10 PM IST
- Month 3: 2 PM - 11 PM IST
- Month 4: 3 PM - 12 AM IST
Upon successful completion of the internship, there is potential for long-term engagement as a contractor, leading to a permanent position based on performance.
Note: For further communication please keep an eye on your email inbox/spam folder.
Join us to grow as an analytics professional in a vibrant and supportive environment.
Qualifications
Please submit you resume in English.
- Strong Analytical & Problem-solving skills and has a strong desire to independently learn and develop.
- Proficiency in MS Excel/Google Sheets, MS Powerpoint/Google Slides, SQL and any dashboarding tool
- 0-2 Years of Work Experience in some form of Analytical Discipline or enough projects with substantial work depicting Analytical process
- Bachelors degree in Engineering, Mathematics or similar quantitative field