Data Science/Analytics Intern
Gandhinagar,
India
Note:
Candidates must possess a valid passport due to international travel for training, collaboration, and client engagement.
Location: Flexible, with opportunities for global interaction.
Interns in data science analyze datasets, build predictive models, and help optimize the business’s products through data-driven insights. Skills: Python, R, SQL, data visualization tools (Tableau, PowerBI), machine learning frameworks.
Application Timeline:
Applications will be reviewed on a rolling basis, and early submissions are strongly encouraged. The application window closes on December 28, 2024, but may close earlier if all available projects are filled. Late applications or those submitted after roles are filled will not be considered.
- Candidates proficient in French, German, or Spanish are encouraged to apply.
Special Application Instructions for Multilingual Candidates:
If you are proficient in French, German, or Spanish, please send your resume directly to info@ittanta.com with the subject:
"<Language> speaking <role applied for>"
(Example: "French speaking Presales Intern").
Qualifications:
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in programming languages such as Python or R.
- Familiarity with data analysis libraries and tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Knowledge of SQL for querying databases.
- Basic understanding of machine learning concepts and frameworks (e.g., Scikit-learn, TensorFlow).
About the Role:
As a Data Science/Analytics Intern Intern, you’ll bridge the gap between ITTANTA’s technical solutions and client needs. This unpaid internship offers hands-on experience in creating impactful presentations, solution demonstrations, and collaborating with sales and engineering teams to drive business success.
Responsibilities:
- Work closely with the sales team to understand client requirements.
- Develop technical presentations and proposals tailored to client needs.
- Collaborate with cross-functional teams to deliver compelling demonstrations.
- Assist in identifying opportunities to enhance client solutions.