Job Description:

• Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
• Research, design, implement, and validate cutting-edge algorithms to analyse diverse sources of data to achieve targeted outcomes.
• Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analysis and data science across the entire breadth of our organisation.
• Continuously track emerging technologies, evaluate them and recommend the right techniques for the solutions.
• Setup, present, and demonstrate solutions/products/prototypes.

Job Requirements:

• Degree in operations search, applied statistics, data mining, machine learning, physics, or a related quantitative discipline.
• Deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
• Expert in analysing large, complex, multi-dimensional datasets with a variety of tools
• Good knowledge and experience in database technologies.
• Good programming skills in C/C++, Java, Python, and/or R* Good experience in the use of statistical analysis environments such as R, MATLAB, SPSS, or SAS
• Good experience in BI tools such as Power BI, Tableau, and Microstrategy, or the equivalent.
• Experience in delivering world-class data science outcomes, to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical, and technical skills is desirable.
• Excellent written and oral communication skills.
• Knowledge and experience in the Public Safety, Transportation and Healthcare domains will have advantage