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Data Scientist, Asia

QBE Insurance Petaling Jaya, Malaysia
Posted 5 days ago Permanent Competitive
Primary Details
Time Type: Full time

Worker Type: Employee

Primary Responsibilities
  • Develop and refine analytical use cases with internal business customers in alignment with Analytics leads and partners
  • Play an active role on projects of diverse scope, range, priority and urgency within the insurance domain
  • Translate between business and analytical problems
  • Interrogate and interpret data and models to formulate, evaluate and iterate hypotheses quickly
  • Integrate, format and present relevant analyses and data visualizations to communicate results, findings and recommendations to business users
  • Support Data & Analytics colleagues and business stakeholders as a Machine Learning expert
  • Direct the work of onshore and offshore analytics and data science projects
  • Plan own activities for each sprint, accurately estimating effort for stories/tasks
    Optionally, undertake a scrum master role within projects
  • Ensure compliance with QBE policies and procedures, and relevant legislation
  • Share knowledge and contribute reusable practices and techniques within and beyond the team
  • Adopt standard business assets, practices and systems to complete tasks
  • Establish and maintain a good working relationship within the team
  • Maintain partnerships and working relationships with offshore teams and/or group-wide Data & Analytics team members
  • Track benefits delivered to internal customers
  • Maintain relationships with business by actively participating in the agile process
  • Source, integrate, explore and examine data from multiple sources; discover, analyse and summarize relationships, trends and insights; derive, validate and interpret models and the results of data experiments; and connect these analytic results to cost saving, revenue improvement, and risk reduction business decisions and actions
  • Assist in identifying and addressing key business questions, issues and opportunities
  • Diagnose root causes, by applying analytical and statistical techniques to quantitative data in combination with qualitative knowledge, assumptions and judgments
  • Collect new data and refine existing data sources as required
  • Contribute to Data & Analytics architectures and reporting, analysis and modelling standards and methodologies
  • Contribute to the development of new descriptive, exploratory, diagnostic, predictive and prescriptive analyses
  • Structure and document the data preparation, management, modelling, visualization and presentation tasks supporting each analysis output
  • Work effectively with data scientists, analytics partners, data analysts, and other technical specialists
  • Contribute to an inclusive environment that supports knowledge sharing and sharing diverse ideas
  • Take an interest in industry standards and practices to stay on top of the latest trends, tools and policy

    Qualification
  • Bachelor Degree in Quantitative field (Computer Science, Engineering, Statistics, Mathematics or related disciplines)
  • Ability to distil and abstract complex problems into appropriate data-driven / machine learning analogy
  • Ability to engage with senior team members and business stakeholders and clearly articulate findings
  • Ability to support the development of architectural prototypes that integrate machine learning with complex and fluid IT systems
  • Advanced data visualization skills (eg PowerBI, ggplot, plotly)
  • Inquisitive, with a passion for business improvement and empirical analysis
  • Intermediate to advanced programming skills (particularly in R, Python)
  • Experience in producing meaningful insights from large structured and unstructured datasets
  • Analytics experience using modern data science tools such as R, Python, Spark
  • Experience working collaboratively on programming projects
  • Comfortable working in a Linux environment
  • Detailed knowledge of state of the art statistical and machine learning techniques and their business applications
  • Working knowledge of IT and Cluster technologies such as: Vagrant, Puppet, docker, Mesos, Jenkins
  • Intermediate knowledge of relational databases such as: SQL, Hive, Pig
  • Understanding of experimental design techniques and their associated limitations
  • Working knowledge of probability theory and the applications of Bayes theorem
How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Job ID  316842
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