Data Science Internship in Mumbai at LocoBuzz
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Data Science
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
7,000 /month
Apply By
5 Jul' 22
The hiring for this internship will be online and the company will provide work from home/ deferred joining till current COVID-19 situation improves
Internship
Internship
About LocoBuzz
LocoBuzz is a smart customer engagement and analytics-driven marketing automation platform. LocoBuzz enables businesses to smartly manage their digital marketing needs from a single platform and make customer acquisition simple and cost-effective by using insights and analytics.
Activity on Internshala
Hiring since September 2018
104 opportunities posted
36 candidates hired
About the internship
Selected intern's day-to-day responsibilities include:

1. Working on machine learning, especially NLP information retrieval, etc.
2. Working with popular data science frameworks- Python, Jupyter, sklearn, NLTK, (XGBoost, and Keras are good to have).
3. Implementing ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc.
4. Productionizing machine learning solutions, especially ML-powered web-apps/BOTs
5. Understanding back-end concepts, and databases (SQL, NoSQL, etc.)
6. Working with different Machine learning/deep learning projects
7. Working with structured and unstructured data
8. Working with data structures and algorithms and in a Unix environment and building robust data processing system
9.Analyze raw data: assessing quality, cleansing, structuring for downstream processing
10. Design accurate and scalable prediction algorithms
11. Collaborate with engineering team to bring analytical prototypes to production
12. Generate actionable insights for business improvements
Skill(s) required
Artifical Intelligence Data Analytics Data Science Deep Learning Machine Learning MongoDB Natural Language Processing (NLP) Python
Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 20th Jun'22 and 25th Jul'22

3. are available for duration of 6 months

4. have relevant skills and interests

Perks
Certificate Letter of recommendation Informal dress code 5 days a week
Number of openings
2