Key responsibilities/What you doReporting to the Head of Networks and as part of the Global Network Management department, as a Data Scientist you will support our network management assistance business, including RSA, Home, MDDR, Easy Living and other. You will work with company assistance data and also insights from LoB, Sales, Marketing, etc. The Data Scientist will use large data sets to find opportunities for process optimization, performance optimization, cost reduction opportunities, tariffs structures, predictive models, etc. using models to test the effectiveness of different courses of action. Key repsonsibilties: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business-operations and network solutions. Mine and analyze data from AP databases to drive optimization, simplification, improving our customer experience and at the same time increase our effectiveness. Drive implementation / continuous improvement for the various lines of Business. Work with the teams to implement the key performance monitoring data points and KPIs. Drive analysis of results to support the LoB project managers and Head of RSA & Mobility / MDDR & Other in the definition of quality and performance action plans. Assess the effectiveness and accuracy of the existing and new data sources and data acquisition-integration techniques. Develop custom data models and algorithms to fulfill the business and operations needs. Use predictive modeling to increase and optimize customer experiences, operation performance, business effectiveness (including b-partners) and new network models. Develop processes and tools to monitor and analyze model performance and data accuracy.

Key requirements/What you bring ­5+ years experience workiung with datasets and statistical models You will be a specialist with a computer science/developer background at using large data sets to find opportunities for process optimization, performance optimization, cost reduction opportunities, tariffs structures, predictive models, etc. using models to test the effectiveness of different courses of action. Have a strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Proven ability to drive business results with their data-based insights. Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Knowledge of variety of machine learning techniques, clustering, decision tree learning, artitifical nerual networks, etc. Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.) You will be fluent in English both written and verbal