Senior Associate, Commercial Data & Analytics - Industrial Products

At PwC, we are focused on leveraging advanced technologies and techniques in data and analytics engineering to design and develop robust data solutions for our clients. As a member of our team, you will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the field of data science and machine learning engineering at PwC, you will be responsible for leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision-making. Your work will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your role will also involve organizing and maintaining proprietary datasets, as well as transforming data into insights and visualizations that drive strategic decisions for our clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights that can be used in various aspects such as thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred knowledge and skills for this role include the ability to manage efforts in identifying and addressing client needs, maintaining and analyzing large, complex datasets to uncover insights, supporting the identification of new datasets, building predictive models, designing and conducting experiments, translating analytical findings into actionable recommendations, developing dashboards and reports, staying up to date with industry trends, managing data science and commercial analytics teams, proficiency in SQL, Alteryx, Python, and/or R, applying machine learning and statistical techniques, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and prior experience in commercial analytics and insights.,