19/09 Priyanka George
HR at Accenture

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Accenture - Data Scientist (3-6 yrs)

Bangalore/Chennai/Delhi NCR/Mumbai Job Code: 745431

YOUR EXPERIENCE : Basic Qualifications (subhead)

- 3-6 years of analytics overall experience.

- Exposure to Machine Learning with at least 2 years of practical experience in one or more approaches such as Random Forest, Neural Networks, Support Vector Machines, Gradient Boosting, Bayesian Networks, Deep Learning etc.

- Hands on experience in Predictive analytics projects involving statistical modeling, customer segmentation etc.

- Post Graduate degree in Statistics, Data Mining, Econometrics, Applied Mathematics, Computer Science or related field or MBA (Preferred)

- Experience of working with US/ overseas markets is preferable


Key Competencies

- 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 :

i. Customer Segmentation

ii. Statistical Models across customer Lifecycle

iii. Attrition / Cross-Sell / Upsell Propensity Models

iv. Customer Lifetime Value

v. Pricing Analytics

vi. 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.

Women-friendly workplace:

Maternity and Paternity Benefits

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