Primary responsibilities include conducting data mining using state-of-the-art methods like clustering, classification, regression, and forecasting. The role involves enhancing data collection procedures, extending company data with third-party sources, processing and cleansing data, performing ad-hoc analysis, and presenting results through data visualization.
Candidates must have a university degree in STEM disciplines such as Computer Science, Statistics, Mathematics, Physics, or Engineering, with a Master's in Data and Analytics preferred. Strong technical skills are essential, including proficiency in Python or R, excellent understanding of machine learning algorithms, experience with data analytics tools like Power BI, and solid applied statistics skills.
PwC offers an intellectually challenging environment where candidates can work on complex merger and acquisition projects, be part of an international team of specialists, and develop expertise in data-driven decision-making. The role provides opportunities to apply cutting-edge analytical techniques and contribute to solving challenging business problems.
