Women Data Science Hackathon by Bain & Company

About Hackathon

We call upon all you amazing women data scientists to participate in our all-women, virtual hackathon for a chance to win prizes and/or be fast-tracked on to our recruiting process for the Bengaluru Data Science hub. We know that diversity leads to high-performing, innovative teams and we at Bain strive to get the best and brightest for our clients. And this means you!

About Bain & Company

Bain & Company is one of the world's leading strategy consulting firms, where bold thinking, inspired people and a passion for results come together for extraordinary impact. This is where aspiration meets innovation, candor fuels collaboration and impossible surrenders to teamwork. We champion the bold to achieve the extraordinary. We’re a global consultancy that helps the world’s most ambitious change makers define the future. Across 58 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster and more enduring outcomes. Learn more about Bain at https://www.bain.com/

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Our Advanced Analytics Group (AAG) is a highly skilled team with advanced degrees in diverse quantitative disciplines ranging from statistics to applied mathematics to computer sciences and have backgrounds in a variety of fields including data science, market research and academia, who apply state-of-the-art techniques, tools and technology to ensure that you derive powerful insights from your data. We help clients across all industries develop competitive advantage from their data and analytic assets and improve decision-making by generating insights that yield better, faster decisions.

Our work is multidisciplinary —primary research, marketing science, data science, AI and ML —and is rooted in our technical expertise, client experience and our knowledge of the latest data collection, analysis platforms and tools. We bring the right mix of disciplines to each client, recognizing that every challenge is unique.

AAG team members act as advisors to, executors of key tasks, or embedded team members in client case teams supporting a multitude of analyses, including: predictive modeling, experimental design, pricing optimization and more.

Rules to follow:

• Only Women participants will be eligible for prizes.
• Entries submitted after the contest is closed, will not be considered.
• No registration fee required.
• Only individual participation allowed for the hackathon and participants are expected to solve the problem on their own.
• Multiple IDs of user leads to disqualification from the contest.
• Accuracy, generalization of solution implementation and presentation of results and insights will be key factors in determining winners.
• Participants who are interested in a job opportunity with Bain & Company must upload their latest CV with other profile details.
• Decision on the winners and runners-up made by Analytics Vidhya & Bain will be final and binding.
• Slack live chat available throughout the hack for any technical support.
• Slack live chat admins hold the right to block any participant found to use foul/disrespectful language.
• Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity.
• Analytics Vidhya and Bain hold the right to disqualify any participant at any stage of competition if the participant(s) are deemed to be acting fraudulently.
• Prizes are subject to tax deduction as per Indian income tax rules.
• Existing Bain & Company employees are not allowed to participate in the competition.

Note: If a hackathon participant is a good match for a Bain & company opportunity, one of our recruiters will get in touch.

Prizes:

• 1st Prize, Flipkart voucher of INR 75,000
• 2nd Prize, Flipkart voucher of INR 50,000
• 3rd Prize, Flipkart voucher of INR 25,000
• Interview Opportunities with Bain & Company

Eligibility for hiring:

• Preferably 3 years of working experience in data science, advanced analytics or machine learning.
• Bachelor’s or master’s degree in a quantitative discipline such as applied mathematics, computer science, statistics or related field.
• Eligible and open to working in Bangalore, India.