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Bengaluru, India
2026-05-22
Rinteger
South Asia
Data Scientist Intern
Role Description
Responsibilities:
* Collaborate with stakeholders to identify and define business problems and objectives that can be addressed using data-driven techniques.
* Collect, clean, and preprocess data from various sources, ensuring its quality and reliability for analysis.
* Apply statistical and machine learning techniques to analyze complex datasets and extract meaningful insights.
* Develop predictive models, algorithms, and data-driven solutions to solve business problems and optimize processes.
* Interpret and communicate findings to technical and non-technical stakeholders through reports, visualizations, and presentations.
* Stay up-to-date with the latest data science techniques, tools, and technologies, and propose innovative solutions to enhance data analysis capabilities.
* Collaborate with software engineers and IT teams to implement data-driven solutions and integrate models into production systems.
* Conduct A/B testing and experiments to evaluate the effectiveness of proposed solutions and drive continuous improvement.
* Mentor and provide guidance to junior data scientists, as needed.
Requirements:
* Bachelor's or higher degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
* Proven experience as a Data Scientist or in a similar role, with a strong track record of applying data science techniques to real-world problems.
* Proficiency in programming languages such as Python or R, along with knowledge of data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
* Solid understanding of statistical concepts, machine learning algorithms, and data visualization techniques.
* Experience with SQL and database management systems for data extraction and manipulation.
* Strong problem-solving and analytical skills, with the ability to work independently and collaboratively in a fast-paced environment.
* Excellent communication skills, with the ability to effectively present complex findings to both technical and non-technical stakeholders.
* Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.
* Knowledge of data engineering principles and data preprocessing techniques is desirable.
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Job Type: Full-time
Pay: From ₹10,000\.00 per month
Ability to commute/relocate:
* Bangalore City, Karnataka: Reliably commute or planning to relocate before starting work (Required)
Experience:
* total work: 1 year (Preferred)
Work Location: In person