
How to apply for Python Internship at HP?
About Python Internship at HP
Type | Work from Office |
Place | Bratislava, Slovakia |
Company | HP |
Role | Data Scientist |
Last date to apply | ASAP |
Internship Duration | Unknown |
Qualification | Graduates (Bachelor’s or Master’s degree) in the past 2 years in Mathematics, Economics, Physics, Statistics, Computer Science, or equivalent |
Batch | Expected graduation date between 10/2023 – 9/2024 |
Programming language: | Python(required) |
Libraries | Numpy, Pandas, Matplot, Sci Kit learn, One or more Deep learning libraries (Keras, PyTorch, Tensorflow, etc.) |
Working Days | Monday-Friday |
Working Hours | 8 am – 5 pm |
Work per week | 40 Hours per week |
Preferred Qualifications/requirements
- We are seeking recent graduates (with a bachelor’s or master’s degree) in computer science, mathematics, economics, physics, or a similar field. No prior knowledge is necessary.
- Extensive expertise in solving big data difficulties utilizing statistics, mathematics, algorithms, and computer languages
- Fluent in the administration of both structured and unstructured data as well as contemporary data transformation methodologies
- Being able to develop and build complicated models to extract insightful forecasts and new ideas from data
- Effectively and artistically describe and communicate data insights using tales and infographics.
- Python, Numpy, Pandas, Matplot, Scikit-Learn, and a few deep-learning libraries (Keras, PyTorch, Tensorflow, etc.)
- Decision Trees, Random Forest, Gradient Boosting, Naive Bayes, PCA, and more machine learning methods
- Architectures for deep learning (ResNet, Inception, VGGNet, CNN, RNN, etc.)
- Math (Matrices, Calculus, Linear Algebra, Probability) (Matrices, Calculus, Linear Algebra, Probability)
- Statistical techniques (such as forecasting, hypothesis testing, and linear/logistic regression)
- SQL expertise is preferred.
- Superior verbal and written communication abilities; fluency in the local language and English
- Ability to discuss choices and disseminate data insights effectively at top management levels.
About HP
The mission of HP, a technology business with operations in more than 170 nations, is to develop technology that improves the quality of life for everyone, everywhere. The dedication of HP to diversity, equity, and inclusion is part of who we are. We cultivate a culture where everyone is appreciated and can be themselves while also being a part of something greater than themselves, from the boardroom to the production line.
Best of luck for the future, thank you for visiting our website.
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