Manager - Analytics

- Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing 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

- Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution

- Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms

- Apply advanced Machine Learning Algorithms and Statistics: Regression, Simulation, Scenario Analysis, Time Series Modelling, Classification -Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes, Clustering, K-Means, Aprioprio Ensemble Models -Random Forest, Boosting, Bagging, 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 organisation data and apply Predictive Modelling techniques to gain insights across business functions -Operations, Products, Sales, Marketing, HR and Finance teams

- Help program and project managers in the design, planning and governance of implementing Data Science solutions