Aeries Off Campus Drive 2025 | Trainee - Data Science | 0-2 yrs exp.

Aeries has invited applications for the recruitment of Trainee – Data Science post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Aeries Off Campus Drive 2025 Details:

Experience: Freshers (0 – 2 years)

Post Name: Trainee – Data Science

Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields

Batch: Recent Batches

Salary: Rs. 5 – 6 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Hyderabad

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About the Company

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

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Roles and Responsibility

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)

Role & responsibilities:

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

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Key Skills & Tools:

Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.)
Understanding of basic statistical concepts and machine learning algorithms
Familiarity with SQL and data manipulation
Exposure to BI tools (like Power BI or Tableau) is a plus
Good problem-solving ability and eagerness to learn
Strong communication and collaboration skills

Good to have:

Certification or coursework in data science and machine learning
Previous project work or internship experience in data science (preferred but not mandatory)

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How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: