PwC - Senior Associate - Big Data Technologies - Analytics Consulting Practice

PwC - Senior Associate - Big Data Technologies

- We are looking for Senior Associates with 4 - 7 years of experience, to work in our Analytics Consulting practice in Bangalore. (Preferred Immediate Joiners)

- Senior Associates will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., performing high-end analysis and providing business recommendations to project teams.

- Education : B.Tech./B.E./Master's Degree from reputed institute(s)

Required Skills :

- Successful candidates will have demonstrated the following skills and characteristics:

- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale

- Prior experience of having worked in consulting/product/analytics environment

- Experience with big data technologies (Hadoop, Hive, PySpark) and knowledge of distributed systems for computing and data storage

- Should have experience working on Python, R, Pyspark, Spark and good to have experience in building Statistical, Machine learning and AI models

- Team player and demonstrated ability to work effectively across various internal organizations and international teams

- Ability to mentor and train junior team members.

Roles and Responsibilities :

- Build analytics products/accelerators using a variety of big data technologies and analytics tools as required by stakeholders and create robust documentation of solutions, underlying design decisions and operating procedures

- Work on several large scale datasets(e.g. internal client data, external public data, and new sources of data) and drive analytics path to align with overall project objective, develop and execute analytical module development on PwC's big data platform

- Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions

- Required to meet tight deadlines and manage multiple competing priorities; ability to work independently and navigate through ambiguous requirements

- Manage the continuous improvement of data science and machine learning by following industry best practices