Aeries Technologies Company hiring for Trainee Data Science – 0-2 years Experienced Apply

Job Description

Company Name :-

Aeries Technologies

Designation / Position :-

Trainee - Data Science

Type :-

Full-Time

Location :-

Hyderabad, India

About the comapny :-

Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at https://aeriestechnology.com

Qualification :-

Any Degree

Experience:-

Freshers

All Details:-

1. Assist in collecting, cleaning, and analyzing large data sets
2. Support the development and testing of ML models and data-driven algorithms
3. Generate insights through data visualization and basic statistical analysis.
4. Write clean, maintainable Python code for data-related tasks
5. Collaborate with cross-functional teams to understand requirements and deliver results
6. Document findings, code, and processes clearly for internal use

Key Details:-

1. Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.) Understanding of basic statistical concepts and machine learning algorithms
2. Familiarity with SQL and data manipulation
3. Exposure to BI tools (like Power BI or Tableau) is a plus
4. Good problem-solving ability and eagerness to learn Strong communication and collaboration skills
Position/Title: Trainee - Data Science
Location: Hyderabad
Department: Dev/Engineering
Employment type: Trainee
Experience: Fresher-2 years
Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields
Shifts (if any): 11 am onwards (Candidate should be flexible to work as per business requirement)

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