Job Description

Duties and Responsibilities include but are not limited to:





What will you be doing?



• Interact with internal and client teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
• Work with massive and complex data sets from multiple sources, utilising big data tools and techniques to analyse, provide insight and validate hypotheses.
• Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
• Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
• Making recommendations for the collection of new data or the refinement of existing data sources and storage.
• Collaborate with subject matter experts to deliver and solve real-world engineering problems with ML and data science.
• Collaborate across the business to influence change and bring ideas to life.
• Create solutions that will benefit the wider community.
• Contribute to creating a more sustainable future.





What we'll love about you



• Minimum Educational Qualification- Engineering Graduate
• 1 - 5 years' experience in a data science environment (experience may be corporate, research/government or academia)
• Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
• Passion for empirical research and for answering hard questions with data.
• Knowledge of analytical tools and big data technologies (Map/Reduce, Hadoop, Hive, etc).
• Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Flexible analytical approach that allows for results at varying levels of precision.
• Solid understanding and experience with programming logic and various paradigms.
• Good Communication Skills