Overlook the design, development and implementation of analytical models
Interpret and present the statistical outcomes to support the organisation’s operations
Execution of key business strategies
Design and conceptualise solutions to address the organisation’s challenges through the use of data and appropriate techniques in Data Science, Optimisation and Artificial Intelligence.
Ensure that the solutions benefit and are adopted by users through meticulous framing/scoping of the business problem, validation, execution and deployment.
Collaborate with stakeholders to build data analytics capabilities around clinical services, finance and operations
Conduct feasibility studies and lead research projects as required
Facilitate regular key meetings and reporting to management.
Bachelor’s Degree in Computer Science, Applied Mathematics, Statistics, Operations Research, Engineering or related quantitative disciplines. Master’s Degree will be an advantage.
At least 3 years of hands-on experience in data mining, machine learning modelling (computer vision, natural language processing, regression, time-series etc) and optimisation
Prior experience in designing non-trivial data related technical solutions and deploying them in an actual user setting
Proficiency in applied machine learning methodology which includes EDA, data cleaning & preparation, model training & tuning, model selection, and model deployment
Proficiency in general programming methodology using languages such as Python, C, C++, Java etc
Proficiency in data science and statistical oriented programming using languages such as R and Python
Proficiency with machine learning frameworks such as sklearn, tensorflow etc
Knowledgeable in SQL, Hadoop/Spark and related databases
Strong problem-solving and quantitative computational ability, and strong written and oral communication skills
Ability to work independently as well as in a team in a fast-paced environment.