Upgrade to Pro Member
Recruitment Associate at Accenture
Views:6719 Applications:720 Rec. Actions:Recruiter Actions:0
Accenture - Data Scientist (1-5 yrs)
I have been with Accenture for more than five years and I like the diversified role that I play. By offering diversified roles, which gave me the opportunity to learn different processes other than my forte is the way Accenture groomed me into becoming a leader. I believe being a woman in this industry, one can contribute in creating a positive work environment and my one advice to all women considering a career in this industry is to join and...
Garima Dhingra, SAP HR Functional Consultant
See Diversity Initiatives >>
- Proficiency in two or more of analytical tools such as SAS product suite (Base Stats, E-miner, SAS EGRC), SPSS, SQL, KXEN and any other statistical tools such as R, MATLAB etc. (SAS/R are must)
- Good knowledge of one of more programming language such as Python, Java, C++ is a plus
- Advanced Excel including VBA and PowerPoint skills
- Willingness to be flexible and work on traditional techniques as per business need
- Consulting skills and project management experience is preferred
- Excellent communication and interpersonal skills as well as collaborative, team player
- Ability to tie analytic solutions to business/industry value and outcomes
- Autonomous, self-starter with a passion for analytics and problem solving
Responsibilities
- Utilize state of the art Machine learning and optimization algorithms for targeting customers to increase profitability, acquire new customers and increase retention. Propose and apply new algorithms for the same
- Demonstrated analytical expertise, including the ability to synthesize complex data, effectively manage complex analyses, technical understanding of system capabilities and constraints
- Develop methodologies to support Customer Analytical project execution for CMT / Telecom clients
- Develop predictive analytics based solutions for
a. Customer Segmentation
b. Statistical Models across customer Lifecycle
c. Attrition / Cross-Sell / Upsell Propensity Models
d. Customer Lifetime Value
e. Pricing Analytics
f. Web Analytics
- Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis and so on
- Develop and articulate strategic recommendations based on rigorous data analysis
- Partner with client teams to understand business problems and marketing strategies
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
2-Step Verification - Action Required
We've updated our security procedures!
Your privacy and security are important to us. We've recently updated our security measures to make iimjobs.com safer and more secure for you. This change requires you to reset your password.
Please reset your password using the link sent to your email. If you did not receive any email, please check your spam folder..
