Vacancy For Data & Analytics Associate at PriceWaterHouseCooper, 26th July, 2019

PricewaterhouseCooper (PwC) firms help organisations and individuals create the value they’re looking for. We’re a network of firms in 158 countries with more than 236,000 people who are committed to delivering quality in assurance, tax and advisory services. In Sub-Saharan Africa, we're the largest provider of professional services with offices in 34 countries and over 9 000 people. We are recruiting to fill the position below:     Job Title: Data & Analytics Associate Reference Number: 125-NIG00216 Location: Lagos Department: Assurance Job type: Permanent Roles & Responsibilities

• Building machine learning models and systems, interpreting their output.
• Builds and manage/maintain database to house data collected from various sources.
• Researches best practices; develops implementation plan of operational and cost improvement strategies; assists in seeking, evaluating and implementing new technology
• Analyze and interpret big volumes of data from client including internal data systems and external sources
• Identify, investigate and explain trends and patterns in data using data tools, platforms and analytical tool kits
• Translate complex findings into business terms and communicate to client
• Develop strategies for analytics to build advanced data visualizations and analytical models
• Moving analytics models from development to production.
• Use machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting etc.).

• Minimum of 1-2 years relevant experience
• Demonstrates analytical abilities using Python, R;
• Ability to use data storage technologies: SQL, NoSQL,;
• Efficient use of data processing tools: R(dplyr, etc), Python (Numpy, Pandas, etc.), Spark,
• Exhibit advanced analytics and machine learning capabilities using libraries in R and Python, TensorFlow, Keras, PyTorch, Spark MLlib;
• Visualization: R-Shiny, Python (Matplotlib, Seaborn, bokeh, etc.), PowerBI, Qlik, Tableau;
• Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique.
• Advanced Microsoft Excel skills required.

• Strong analytical and problem-solving capabilities
• Ability to remain organized, driven, and focused on multiple projects at a time
• Ability to use data visualization tools such as Tableau is a plus.
• Ability to communicate clearly with colleagues.
• A proven track record of establishing and maintaining strong relationships.
• A proactive approach to problem solving, delivering results and meeting client expectations.
• Strong statistical and programming skills and technical depth.
• Excellent written and oral communication skills (presentation & facilitation).
• Demonstrable creativity and innovation.