Slice is providing an exciting internship opportunity for aspiring Data Science enthusiasts. If you are a final year student pursuing a Bachelor’s or Master’s degree, this internship, located in Bengaluru, can be your stepping stone into the world of data science. Joining the Slice team as a Data Science Intern offers you the chance to apply your academic knowledge in a real-world setting, working on projects that involve cutting-edge data analysis and insights. It’s a valuable experience that allows you to gain hands-on skills, learn from experts in the field, and make a significant impact while still in your final year of studies.
Company Name: Slice
Job Role: Data Science – Intern
Education Required: Final year students in Bachelors or Master’s degree.
Job Type: Internship
Job Location: Bengaluru
Job Responsibilities:
- End-to-end data science activities such as data wrangling, feature generation, building and evaluating predictive models.
- Work with conventional and unconventional data sources to enable informed business decisions.
- Cross-team collaboration to understand the requirements and to provide support in putting the models in production.
- Provide post deployment support to the teams to monitor the model performance and make changes as required.
Required Skills and Qualifications:
- Final year students in Bachelors or Master’s degree in a quantitative discipline – Statistics, Operations Research, Computer Science, Engineering, etc
- Experience with scripting language (Python preferred). Basic experience with Python libraries such as numpy, pandas, scikit-learn, etc
- Prior internship experience is a plus.
- Understanding of supervised learning and unsupervised learning techniques such as scorecards, linear/ logistic regressions, random forest, neural networks, PCA, k-means clustering, etc.
- Design thinking approach to problem-solving, able to develop simple yet impactful solutions.
- Exceptional aptitude, ability to learn new concepts and experiment with new methodologies.
- Strong ownership and leadership skills, excellent communication and people skills.
- Action-oriented with a bias for driving results in a fast-paced environment.
