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Trainee – Data Science
About the Company
Aeries Technology, a global professional services and consulting partner listed on the Nasdaq, is headquartered in Mumbai, India, with additional centers located in the USA, Mexico, Singapore, and Dubai. We empower mid-size technology companies by providing a comprehensive suite of services, including deep vertical specialization, functional expertise, and tailored systems and solutions. These offerings enable businesses to effectively scale, optimize, and transform their operations through unique and customized engagement models. Aeries is recognized as a Great Place to Work certified by GPTW India, demonstrating our dedication to cultivating a positive and inclusive work environment for all employees. For more information about Aeries Technology, please visit https://aeriestechnology.com.
Job Description
The job responsibilities of the selected candidate will include, but are not limited to, the tasks and duties described in this job description, as well as any other tasks or functions as required by the Company.
| Company Name | Aeries Technology |
|---|---|
| Role | Trainee – Data Science |
| Location | Hyderabad |
| Salary | |
| Job Type | Trainee |
Responsibilities
- Assist in the collection, cleansing, and analysis of large datasets to extract valuable insights.
- Support the development, testing, and validation of machine learning (ML) models and data-driven algorithms.
- Create informative data visualizations and conduct fundamental statistical analyses to identify trends and patterns.
- Develop well-structured, documented, and maintainable Python code for a variety of data-related tasks.
- Collaborate effectively with cross-functional teams to thoroughly understand project requirements and ensure successful delivery of results.
- Prepare comprehensive documentation of findings, code, and processes for internal knowledge sharing and future reference.
Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- Certification or successful completion of relevant coursework in data science and machine learning.
- Prior project experience or internship experience in the field of data science (preferred, but not mandatory).
Skills
ATS Keywords
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Frequently Asked Questions
A Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is required. Certification or coursework in data science and machine learning is also desired.
Prior project or internship experience in data science is preferred but not mandatory. This makes it a good opportunity for recent graduates.
Proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib), understanding of statistical concepts and machine learning algorithms, and familiarity with SQL are essential. Exposure to Power BI or Tableau is advantageous.
The standard shift begins at 11:00 AM, but candidates must be flexible and willing to work according to business needs.
Other Information
Experience Level: 0 – 2 Years
Educational Requirements: Bachelor’s or Master’s Degree
Shift Requirements: The standard shift begins at 11:00 AM. Candidates must be flexible and willing to work according to business needs.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
