Job Location: Bengaluru
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be [1] consistently recognized as one of the world’s best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor’s list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for [2] diversity and inclusion, women, LGBTQ and parents.
WHO YOU’LL WORK WITH
Our Advanced Analytics Group is a team of experts in data science, engineering, marketing science, operations research and primary research. You will work alongside Bain’s consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world.
WHAT YOU’LL DO
- Provide data science expertise to Bain case teams and clients worldwide. You will work together with case teams to drive results by assessing needs and developing data science methods that provide practical, value-added insights.
- Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection.
- Formulate the data mining problem to solve a business need. Then define, prepare, explore and analyze data sources to solve it.
- Research and develop novel machine learning and statistical techniques to solve complex business problems.
ABOUT YOU
- 2+ years’ industry experience with a Bachelor’s Degree in Computer Science, Mathematical or Statistical sciences or related disciplines is required or 1+ years industry experience with a post-graduate degree in a quantitative discipline such as applied mathematics, computer science, statistics etc
- Programming Skills – hands on experience of working with languages like Python/R, and database query languages like SQL and hive is desirable. Familiarity with PySpark, Scala, is an added advantage.
- Proficiency in applied machine learning, optimization, statistical and probabilistic modelling techniques
- Ability to interpret and explain model predictions and insights to varied audiences
- Strong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings (Multivariable Calculus and Linear Algebra)
- Demonstrable experience in exploratory data analysis (including proficiency in handling imperfections in data)
- Excellent communication skills and ability to engage with cross-functional stakeholders effectively
- Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact
- Some travel required.
ABOUT US
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 61 offices in 38 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. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development and the environment. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
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References
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1. http://www.bain.com/about/what-we-do/awards/index.aspx
2. https://www.bain.com/about/diversity-inclusion/
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