Accenture Digital offers a comprehensive portfolio of business and technology services across digital marketing, mobility and analytics to help our clients unleash the power of digital to drive growth and create new sources of value. No other company offers the same blend of insight, assets and industry expertise to help companies become digital businesses.
Analytics, part of Accenture Digital, help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships.
The Barcelona Innovation Center has been at the forefront in helping clients from around the globe and across industries under the umbrella of operations analytics for the last 13 years. We develop cutting-edge assets and solutions to reduce costs and improve supply chain processes, such as optimization of stock levels, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.
Our team is composed of over 70 data scientist with specialized background in Supply Chain, 20% of which are PHD’s in the areas of Mathematics, Computer science, physics or Statistics. All of that knowledge, combined with Accenture’s business experience, fosters an environment that allows us to quickly react to changing business conditions and provide tailored solution for our client’s needs.
Key Responsibilities
Responsible for the development of predictive models and the generation of data-driven insights to solve industrial problems or challenges.
Your objective would be to re-imagine the future of the industry, and the next generation of predictive process control
Your role will require the extraction, wrangling and enrichment of data from one or multiple sources, online or offline. Moreover, you’ll be responsible for development, training and validation of mentioned models, and the visualization of the data and model results through dynamic dashboards.
You should have working knowledge of process data visualization, statistics/statistical testing, machine learning, data mining, and database structure and management.
