jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
22/10 Navneet Kaur
Recruitment Associate at Accenture

Views:3355 Applications:573 Rec. Actions:Recruiter Actions:0

Accenture - Data Scientist (1-5 yrs)

Bangalore/Gurgaon/Gurugram/Mumbai Job Code: 756547

- 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

Women-friendly workplace:

Maternity and Paternity Benefits

Add a note
Something suspicious? Report this job posting.