Cisco Internship drive 2023 | Hiring for Data Science Analyst – (Intern) | Opportunity for 2024 Batch

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Cisco Internship drive 2023 | Hiring for Data Science Analyst - (Intern) | Opportunity for 2024 Batch
Cisco Internship drive 2023 | Hiring for Data Science Analyst - (Intern) | Opportunity for 2024 Batch

Cisco Internship drive 2023 | Hiring for Data Science Analyst – (Intern) | Opportunity for 2024 Batch

About Cisco:

Headquartered in San Jose, California, Cisco Systems, Inc. is a prominent American multinational technology conglomerate. Focused on networking hardware, software, and telecommunications equipment, Cisco holds the 74th spot on the Fortune 100 list, boasting a revenue exceeding $51 billion with around 80,000 employees.

Established in 1984 by Stanford University computer scientists Leonard Bosack and Sandy Lerner, Cisco pioneered local area networks (LANs) and multiprotocol router systems, transforming networking. Its market capitalization grew from $224 million at its 1990 IPO to $500 billion during the dot-com bubble, achieving the world’s highest valuation.

Cisco’s comprehensive product range, including routers, switches, firewalls, and wireless access points, serves global businesses, governments, and educational institutions. With expansions into the Internet of Things (IoT) and cloud computing, Cisco offers innovative solutions like sensors, gateways, analytics software, and the Cisco Cloud Platform.

Committed to innovation, Cisco remains a vanguard in networking technology, shaping the future of connectivity.

Job Description:

  1. Strategic Insight: Leverage data-driven insights to guide strategic decision-making, enabling the organization to make informed choices and stay ahead in a competitive landscape.
  2. Enhanced Processes: Analyze business processes, identifying areas for optimization and efficiency improvement through data analysis, leading to streamlined operations and resource allocation.
  3. Innovation Driver: Act as a catalyst for innovation by uncovering hidden patterns and emerging trends within complex datasets, fostering new ideas and approaches.
  4. Cross-Functional Collaboration: Collaborate with diverse teams, bridging the gap between technical and non-technical stakeholders, and translating data findings into actionable recommendations.
  5. Data Collection and Analysis: Gather, cleanse, and preprocess data from various sources, utilizing statistical techniques and advanced analytical tools to extract meaningful insights.
  6. Trend Identification: Identify and interpret trends, anomalies, and patterns in data sets to provide actionable insights that guide business strategies and lead to improved outcomes.
  7. Opportunity Discovery: Proactively identify opportunities for growth, cost reduction, and risk mitigation by analyzing data, enabling the organization to capitalize on market trends and stay agile.
  8. Business Objective Alignment: Align data analysis efforts with overarching business objectives, ensuring that data-driven initiatives directly contribute to the organization’s goals and success.

Qualification and Skills Required:

  1. Proficient in data science and analytics with 0-2 years of experience.
  2. Capable of collaborating across departments, particularly adept in business analysis.
  3. Previous engagement in service-related projects is advantageous, with exposure to operational and financial datasets.
  4. Strong communication skills for effectively conveying analyses and presentations.
  5. Skilled in both operational and financial data analysis.
  6. Utilized programming languages like R, Python, and SQL to manipulate and extract insights from extensive datasets.
  7. Familiarity with diverse machine learning methods (e.g., clustering, decision trees, neural networks) and their real-world pros and cons.
  8. Acquainted with advanced statistical concepts (regression, distribution properties, statistical tests) and their practical applications.
  9. Extracted and evaluated data from company databases to enhance product development, marketing strategies, and business approaches.
  10. Developed customized data models and algorithms for dataset application, managed multiple tasks concurrently, and conveyed intricate data findings in business contexts.

Key Information:

  • Location: Bangalore, India
  • Area of Interest: Business Strategy and Operations
  • Job Type: Internship

Additional benefits:

  • On-the-job training: Cisco interns are given the opportunity to work on real-world projects that have a direct impact on the company and its customers. This gives interns the chance to learn from experienced professionals and gain valuable hands-on experience.
  • Networking opportunities: Cisco interns have the opportunity to network with other interns, employees, and customers from all over the world. This can help interns build relationships that can lead to future job opportunities.
  • Mentorship: Cisco interns are assigned mentors who can help them navigate the company and their internship. Mentors can provide guidance, advice, and support, and they can help interns make the most of their internship experience.
  • Social events: Cisco hosts a variety of social events for interns, such as company picnics, happy hours, and networking events. These events give interns a chance to relax and have fun, while also getting to know their fellow interns and employees.


“Unleash the Power of Data: Join Cisco’s Internship as a Data Science Analyst and Dive into Real-World Insights, Innovation, and Impact.”

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