Data Scientist

Key Responsibilities:• Apply Data Mining/ Data Analysis methods using a variety of data tools, building andimplementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions• Assess accuracy of new data sources and data gathering techniques• PerformExploratory Data Analysis, detailed analysis of business problems and technical environments indesigning the solution• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms• Apply advanced Machine Learning Algorithms and Statistics:o Regression, Simulation, Scenario Analysiso Time Series Modellingo Classification -Logistic Regression, Decision Trees, SVM, KNN, Naive Bayeso Clustering, K-Means, Aprioprio Ensemble Models -Random Forest, Boosting, Baggingo Neural Networks• Lead and manage Proof of Concepts and demonstrate the outcomes quickly• Document use cases, solutions and recommendations• Work analytically in a problem-solving environment• Work in a fast-paced agile development environment• Coordinate with different functional teams to implement models and monitor outcomes• Work with stakeholders throughout the organization to identify opportunities for leveraging organisationdata and apply Predictive Modelling techniques to gain insights across businessfunctions -Operations,Products, Sales, Marketing, HR and Finance teams• Help program and project managers in the design, planning and governance of implementing DataScience solutions