EY Advisory_SAP DataScience and Analytics_Bangalore_Senior_42 in Bangalore, India

AdvisorySAP DataScience and AnalyticsBangaloreSenior42


Requisition # BLR001S8

Post Date Jan 09, 2019


  • Data Science Specialist in the SAP Advisory team to work on various Analytics projects for our customers across the globe.

  • Serve as a fully seasoned, technically proficient resource; routine accountability is for technical knowledge and capabilities as a team member or as an individual contributor

  • Lead and participate in knowledge sharing and contribute to the overall growth of the collective knowledge of Data Science

We are looking for the candidates with the following:

  • BE/BTech/MCA with a sound industry relevant experience of 5-10 years

  • Masters in Data Analytics, Statistics

You will need to have:(Core Competencies)

Mandatory skills:

  • Design, develop and implement R&D and pre-product prototype solutions and implementations using off the shelf tools (e.g. R, SAS,SPSS), and software (e.g. Python, Java,)

  • Working knowledge on Statistical programming language, like R or Python, and SQL is a must.

  • Exposure to Clustering or Classification from at least 1 project is a must.

  • Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, predictive modelling.

  • Should be able to handle assigned tasks in the capacity of individual contributor and handle team.

  • Experience with modelling techniques such as clustering , linear & logistic regression, random forest etc

  • Extensive experience solving analytical problems using quantitative approaches (e.g. Reduced Dimensional Data Representations, and Multi-scale Feature Identification)

Preferred skills:

  • Excellent critical thinking, verbal and written communications skills.

  • Experienced on the commercial side, and decidedly “hands-on” PAL and Predictive Algorithms in HANA.

  • Work with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues.

  • Experienced on the commercial side, and decidedly “hands-on” PAL and Predictive Algorithms in HANA.

  • To be familiar with data visualization tools like Lumira, KXEN, Tableu, R, Enterprise analytics, Information Steward Etc... It is important to not just be familiar with the tools necessary to visualize data, but also the principles behind visually encoding data and communicating information.

  • Clear understanding Data pre-processing techniques is a must and ways to handle large volumes of Data is a big plus to have

Requirements (including experience, skills and additional qualifications)

  • BE/BTech/MCA with a sound industry relevant experience of 6-11 years