Data Science Intern at Cisco, Bangalore [Stipend Upto Rs. 67k]: Apply Now!

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Online applications are invited for the Data Science Intern at Cisco, Bangalore. Check the essential details below!

About CISCO

Cisco Systems, Inc. is the worldwide leader in networking for the Internet. Cisco’s Internet Protocol-based (IP) networking solutions are the foundation of the Internet and most corporate, education, and government networks around the world. Cisco creates leading products and key technologies to make the Internet more useful and dynamic. These technologies include advanced routing and switching, voice and video over IP, optical networking, wireless, storage networking, security, broadband, and content networking.

Job Description

Cisco have an outstanding opportunity where we get to use the technology we build!
They drive innovation to propel business transformation while maintaining operational quality.
They accelerate digital solutions to generate cost savings and efficiency gains for enterprise growth and success. As customer zero, we transform the customer experience by being our customer first with agility, quality, and security, We continuously deliver business outcomes for our clients.
Who You’ll Work With ONEx Strategy & Planning, The Business Insights team provides flexible and innovative ways to help meet customer needs while improving profitability for Cisco.
The team has specialized domains in 2 broad areas that function seamlessly to enable business outcomes through analytics for Cisco.

Who you are?

Experience in Data Science & Analytics; 0-2 years of experience
Ability to work cross-functionally, very strong in business analytics,
Previous experience in services will be helpful. Exposure to operational and financial data
Good in communication (ability to articulate analysis and present)

Desired Skills

Strong in both, operational and financial data analysis
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests proper usage, etc.) and experience with applications.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Ability to work on multiple assignments in parallel and keep up with deadlines and quality
Articulate complex data in business terms and make recommendations
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Skill to extract intelligence from data, derive business insights and present to business