Data Scientist - 6 Months Fixed Term Contract

THE JOB AT A GLANCE

As the Data Scientist, you will be responsible for assessing opportunities and develop data driven solutions for RMA clients across all market domains of interest to the Group. You will also be responsible for translating business objectives into data and analytics solutions and for translating results into business insights using appropriate data engineering, analytics, visualization & dashboard applications. Furthermore, you will be responsible for assisting with the development of advanced predictive analytical solutions and identifying areas of new opportunity for data science and analytics for RMA and its clients.

As the Data Scientist, you will be responsible for assessing opportunities and develop data driven solutions for RMA clients across all market domains of interest to the Group. You will also be responsible for translating business objectives into data and analytics solutions and for translating results into business insights using appropriate data engineering, analytics, visualization & dashboard applications. Furthermore, you will be responsible for assisting with the development of advanced predictive analytical solutions and identifying areas of new opportunity for data science and analytics for RMA and its clients.

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our data product capabilities and work closely with the data engineering team to strategize and execute the development of data products
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Work with various business teams to understand business problems, translate them into data science projects and appropriately prioritize and execute
• Mine and analyse data from available databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Explore, model, mine, and experiment with data to solve critical business issues/problems
• Implement platforms and processes as per agreed project(s) plan date
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Finalise all analytical models implemented as per agreed project plans
• Develop custom data models and algorithms to apply to data sets
• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Analyse data for trends and patterns, and Interpret data with a clear objective in mind
• Implement analytical models into production by collaborating with solutions developers and data engineers
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Use predictive modelling to increase and optimize customer experiences, revenue generation, and targeting other business outcomes
• Develop company A/B testing framework and test model quality
• Coordinate with different functional teams to implement models and monitor outcomes
• Ensure adherence to ITIL Governance frameworks and processes
• Keep abreast of new and current data science techniques and technologies

• Develop relationships with Business to ensure the effective execution of data strategy across the Group
• Develop relationships with external data and analytics vendors and interact with them as needed
• Help to increase staff’s knowledge of predictive analytics, machine learning and data science
• Provide training, documentation and other assistance to RMA staff to support and expand the use of data science analytics.

• Effective reporting and assessment of problem areas
• M…