Trainee - Data Science

Aeries Technology

Hyderabad, Telangana, India

Job Description About Us 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 About Business Unit Corporate BU 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   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)