IBM Hiring Data Scientist Intern (Bangalore) | Hybrid

About the Role

IBM is a global software, hardware and services company, and as a leader in Hybrid Cloud and AI, it is driving digital transformation worldwide. The Marketing, Communications & Corporate Social Responsibility (MCC) team positions IBM in the market, defines and optimizes the IBM brand, and shapes its point of view for clients, partners, the media and IBMers.

As a Marketing Data Scientist & Data Analytics Intern, you will work as part of a team on a project that addresses a strategic IBM Marketing business challenge. This is a highly visible internship with leadership exposure throughout the summer, along with learning and networking opportunities.

The role supports the Marketing Data Science and analytics team, which builds intelligence that powers performance across tactics and buyer groups. You will see all parts of marketing, from audience targeting through paid media investment, to capturing demand through the web presence, to lead management and sales analytics.

Responsibilities

• Develop scalable analytical solutions that provide data-driven and optimization insights.
• Work with large, complex data sets to extract insights and solve non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct end-to-end analysis, including industry research, data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
• Develop, design and present data-driven optimization recommendations through dashboards, reports and analyses.
• Communicate insights to team members, other marketing groups and IBM leadership.

Qualifications

• Currently pursuing a postgraduate degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, applied mathematics, mathematical computing, operations research), or pursuing an MBA/M.Tech with an undergraduate degree in one of these disciplines.
• Experience using technology for datasets, such as scripting, Python and statistical software (SPSS, SAS, R or similar).
• Experience with data visualization tools (PowerBI, Tableau or similar).
• Fluent in English with strong written and verbal communication skills.
• Knowledge of and experience working with large data sets and applying data mining or predictive modelling techniques.
• Basic knowledge of marketing or a related field.
• Passion for advancements in Data Science and Predictive Analytics.
• A strategic, consultative, data-driven mindset.