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Core Python Development (Data Processing/Automation) Internship in Mumbai at NearLaw

Core Python Development (Data Processing/Automation)



Start Date Duration Stipend Posted On Apply By
3 Months 8000 /Month 18 Jul'19 22 Aug'19
Full time
About NearLaw (https://nearlaw.com):
NearLaw is a big data analytics platform utilizing AI/ML for legal data to provide key insights for legal professionals. Over 30,000+ lawyers and legal professionals are registered on NearLaw eJudgements. 300,000+ legal decisions/ documents are hosted on the platform. We are growing 16% monthly and expanding products to legal services offered online.
About the Internship:
Selected intern's day-to-day responsibilities include:

1. Working on code efficiently on accessing, processing, ingesting and creating exception-based reporting for new data using core Python and its open-source libraries
2. Working on open source libraries of Python for doing NLP and other scripting tasks such as Scikit, NumPy, Pipenv, TensorFlow, Keras, pandas, etc.
3. Scraping/ accessing unstructured data and then forming a schema and ingesting the said data into the backend database (MongoDB/ ElasticSearch, Postgre, etc.)
4. Working alongside other talented cross-functional developers and communicating the information to them clearly
5. Building models and algorithms with an interest in data science
6. Ensuring that your code is available for review at any open source repository such as GitHub, GitLab, Bitbucket, etc.
# of Internships available: 2
Skill(s) required: Python (Learn Python), Algorithms, Data Analytics, MongoDB and Natural Language Processing (NLP)
Who can apply:
Only those candidates can apply who:
  1. are available for full time (in-office) internship
  2. can start the internship between 18th Jul'19 and 22nd Aug'19
  3. are available for duration of 3 months
  4. have relevant skills and interests
** Women willing to start/restart their career can also apply.
Other requirements:
  1. Only candidates who are proficient in coding in Python shall apply
Certificate, Letter of recommendation, Informal dress code.

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