Consumer Intelligence

Mobilewalla on the hunt for top talents in its Big Data Challenge Internship Competition 2021

Mobilewalla, in partnership with IEEE, the world's largest technical professional organization, and Jadavpur University, Kolkata's state technical and research university, has launched an internship competition to recognize the brightest analytical minds in computer science.

Mobilewalla Big Data Challenge is for students who are passionate about designing smart solutions to solve complex big data problems and implement those solutions in code. This competition is open to any 3rd or  4th year, preferably from CS/IT/E&TC students. The top three competitors will win attractive prizes, a well-compensated internship — and a shot at an eventual full-time job! 

REGISTER FOR THE COMPETITION

 

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Mobilewalla is a global leader in consumer intelligence solutions, leveraging the industry’s most robust consumer data set and deep artificial intelligence expertise to better understand, model and predict consumer behavior. Our proprietary solutions provide businesses with rich insights into consumer behavior helping them to more effectively attract and retain their most desired customers. We are a high-growth stage company committed to driving innovation and being a market leader.

We are also committed to attracting, retaining, and cultivating the next generation of technology talent. Mobilewalla is a global company with a diverse group of employees and a culture of collaboration and mutual respect.

Mobilewalla was listed as #15 on Comparably's top 50 list of Best Company Culture for Small/Mid-Size companies and has been on the Inc. 5000 list of fastest growing US private companies for three years in a row.

REGISTER FOR THE COMPETITION

 

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Mobilewalla

Mobilewalla is a global leader in consumer intelligence solutions, leveraging the industry’s most robust consumer data set and deep artificial intelligence expertise. Our refined consumer insights provide enterprises with unparalleled access to the digital and offline behavior patterns of customers, prospects, and competition.

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