Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 710,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com

     

Accenture S&C Global Network – Data & AI

Accenture’s Data & AI practice helps our clients grow their business in entirely new ways.  Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

Position Summary

Primary responsibility is to deliver analytics-based solutions.

Duties and Responsibilities:

• Develop analytics solutions to support business analytics such as marketing analytics, customer segmentation, acquisition, business operations, retention and forecasting.
• Develop statistical testing programs to measure and improve on-going performance.
• Apply appropriate techniques, such as exploratory data analysis, regression analysis, bootstrapping, decision trees, cluster analysis, choice modeling, survival analysis etc.

Requirements:

• Master’s degree in Statistics or Quantitative Science or MBA
• Should have done forecasting/modeling, data analysis, used regression/optimization models and techniques. Experience in machine learning osure to one or more of Data science capabilities; preferably python. Others are - R, SAS
• Needs to have data management capabilities, with skills in SQL, Spark and data visualization capabilities in Tableau/power BI
• Strong ability to process and extract strategic insights from large data sets
• Exposure to computer programming in some form.
• Good communication skills
• Open to extensive travel (upto 2 months at a stretch)
• Advanced Excel and PowerPoint skills

Disclaimer:

Please take note that, unless there is a formal offer of employment from Accenture, any communication made by Accenture in respect of open position/selection process, or steps related thereto shall not be assumed or treated to be as a commitment or an offer of employment or guarantee of employment with Accenture At Accenture, the health and well-being of our people, our clients and the community is our top priority. We are also committed to complying with all government safety protocols as we bring our people to our offices. Before onboarding, we strongly encourage all selected candidates to take both doses of the COVID-19 vaccine as per government prescribed timelines. Accenture has not authorized any agency, company or individual to either collect money or arrive on any monetary arrangement in exchange for a job at Accenture. Accenture's criterion for hiring candidates is merit. Any agency, company or individual offering employment with Accenture in exchange for money is misrepresenting their relationship with Accenture, which has not authorized any such action. If you are approached by any entity or individuals who demand money or any other form of compensation in return for a job offer at Accenture - even if they present themselves as representatives or employees of Accenture - please send the details to Accenture Business Ethics Line  https://businessethicsline.com/accenture or [email protected]  Accenture has not authorized its officials to either collect money, benefit(s) and or favour(s) of any kind from the college Placement committee, student body and or college administration for participating in campus recruitment events at the time of confirming Accenture's participation in the same

Please also note that Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity.

Master’s degree in Statistics or Quantitative Science or MBA

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.