Senior Data Scientist

As a Senior Data Scientist, undertake data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. Transcend the world of theory, extracting knowledge and insights from data and bringing it to life in the business context. Collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams. 
In this role, you will:

• Communicate and collaborate with key stakeholders to translate complex business problems into data science projects. Work with the team leads to assess the validity of the solutions and the excepted business value.
• Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
• Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
• Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
• Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
• Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
• Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
• Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.
• Guide junior team members on data analysis, visualization and lead the development of tools, models and documentation.
• Support sprint/work design and planning.