Data Scientist, Asia

1 week ago

Subang Jaya, Selangor, Malaysia QBE Full time
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 groupwide 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
  • 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 ownership of career development
  • Take an interest in industry standards and practices to stay on top of the latest trends, tools and policy
Required Experience

  • N/A
Preferred Competencies/Skills

  • Ability to distil and abstract complex problems into appropriate datadriven / 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 (e.g. PowerBI, ggplot, plotly)
  • Inquisitive, with a passion for business improvement and empirical analysis
  • Intermediate to advanced programming skills (particularly in R, Python)
Preferred Education Specifics

  • Bachelor to Master's Degree in Quantitative field (Computer Science, Engineering, Statistics, Mathematics or related disciplines.)
Preferred Experience

  • 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.
  • Bachelor to Master's Degree in Quantitative field (Computer Science, Engineering, Statistics, Mathematics or related disciplines.)
Preferred Knowledge

  • 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.
QBE Cultural DNA

  • Everything we do at QBE is underpinned by our DNA (which interlinks seven cultural elements) because we know it's not just what we do that matters, it's how we do it that makes the difference.
We expect all employees to role model and inspire the right behaviours that link to our cultural elements:

  • We are customerfocused
  • We are technical experts
  • We are inclusive
  • We are fastpaced
  • We are courageous
  • We are accountable
  • We are a team
US Only - Disclaimer

  • To successfully perform this job, the individual must be able to perform each essential job responsibility satisfactorily. Reasonable accommodations may be made to enable an individual with disabilities to perform the essential job responsibilities.
Australia/New Zealand Only - Advice/Non-Advice

  • Non-Advice: This role is not authorised to provide financial product advice

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