Data Science Intern

Company Description Aenrox Engineering is a leading AI, robotics, and automation company focused on intelligent engineering solutions using artificial intelligence, machine learning, IoT, product design, and smart manufacturing technologies. Based in Pune, Aenrox operates as an innovation-driven R&D lab where advanced engineering, embedded systems, and automation are transformed into real-world products. The company was founded to bridge academic research and deployable technology, emphasizing structured research, practical experimentation, and product-focused development. Aenrox collaborates with students, engineers, and researchers to turn innovative ideas into functional prototypes and scalable technologies, with select projects advanced into commercial-ready products under structured development and royalty-based collaboration models. With an active technology community and deep tech research initiatives, Aenrox is emerging as one of the promising AI and robotics startups in India’s innovation ecosystem.
Role Description The Data Science Intern role at Aenrox Engineering is an internship position with remote work arrangements. The intern will assist in collecting, cleaning, and organizing datasets for AI, robotics, and automation projects, and contribute to exploratory data analysis to identify trends, patterns, and insights. Day-to-day tasks include applying statistical methods, building and testing data science models, supporting data-driven decision-making, and documenting methodologies and results. The intern will collaborate with engineering and research teams to integrate analytical outcomes into prototypes and applied solutions, and may contribute to reports, dashboards, or visualizations that communicate findings to technical and non-technical stakeholders.
Qualifications
Strong analytical skills with the ability to interpret complex data and derive actionable insights.
Foundational knowledge in statistics, including probability, hypothesis testing, and statistical modeling.
Exposure to data science concepts, such as machine learning workflows, feature engineering, and model evaluation.
Experience or coursework in data analytics and data analysis, including working with structured and unstructured data.
Familiarity with programming languages commonly used in data science (e.g., Python or R) and relevant libraries (e.g., pandas, NumPy, scikit-learn).
Understanding of databases and data querying (e.g., SQL) is beneficial.
Strong problem-solving skills, attention to detail, and ability to work independently in a remote setting.
Currently pursuing or recently completed a degree in a relevant field such as Data Science, Computer Science, Engineering, Statistics, or Mathematics.
Interest in AI, robotics, and automation, and willingness to learn in a research-oriented, product-focused environment.

Work arrangement
Yes