Responsibilities:

• 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: o Regression, Simulation, Scenario Analysis o Time Series Modelling o Classification – Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes o Clustering, K-Means o Ensemble Models – Random Forest, Boosting, Bagging o 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