Data Science Internship in Mumbai at Spinnaker LLC
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Data Science
Start Date
Starts immediatelyImmediately
3 Months
16000 /month
Apply By
3 Aug' 20
Internship with job offer
Internship with job offer
About Spinnaker LLC
Spinnaker LLC is a US-based management consulting and predictive analytics firm advising global Fortune 1000 companies and private equity investors across strategy, merger integration, operational efficiency, and analytic modeling. We specialize in cross-border mergers and performance improvement in operations, technology, and support functions at financial services and private equity clients.
Activity on Internshala
Hiring since March 2018
159 opportunities posted
66 candidates hired
About the internship
Selected intern's day-to-day responsibilities include:

1. Develop forecasting and probability scoring models
2. Perform statistical analysis
3. Develop pattern recognition algorithms using machine learning and artificial intelligence techniques
4. Conduct quantitative analysis including data mining, cleaning, creatively tackling information gaps and synthesizing findings into meaningful and actionable intelligence
5. Create structured deliverables suitable for C-level executives
6. Participate in conference calls and in-person meetings with client executives as needed
Learn skills relevant for this internship on Internshala Trainings
Who can apply

Only those candidates can apply who:

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

2. can start the internship between 6th Jul'20 and 10th Aug'20

3. are available for duration of 3 months

4. are from Mumbai and neighboring cities

5. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Other requirements

1. Superior problem-solving, analytical, and quantitative skills

2. Proficiency in using Python/R and SQL

3. Experience with statistical modeling and machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)

4. Experience with advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and methods, etc.)

5. In-depth understanding of artificial intelligence, quantitative and qualitative analytics, deep learning, machine learning, natural language processing, and unstructured data analytics

Certificate Letter of recommendation Job offer
Number of openings

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