Senior Data Engineer

  • 38925
  • Life - Data Science
  • |
  • Singapore
  • |
  • Jan 21, 2021
Reinsurance
RESPONSIBILITIES
  • Develop AI-based data management and predictive model production and integrations into client and systems and supporting other company analytics solutions with technology and access to data
  • Closely work with data scientists across analytics applications which will span the entire insurance value chain from transforming the customer experience during underwriting, cross-selling, pricing and experience analysis, lapse prevention through to claims management decisions
  • Cooperate closely with our clients, client managers, the IT department and other analytics teams worldwide including at our head office
  • Develop insurance business solutions based upon insight discovered from data
  • Active participation and management of projects
  • Development and implementation of solutions that enable operational units to increase quantity and quality of new business
  • Supporting and advising the business units in applying the latest research methods and providing a central source for specialized know-how, tools and techniques for data analytics
  • Presentation of deployment solutions to internal and external stakeholders
  • Networking with already existing data engineering units across the globe
  • Collaborate with internal partners in Life and Health and the data analytics centre to leverage capabilities in big data technology
QUALIFICATIONS
  • Preference for Master’s or Ph.D. in computer science, computer engineering, information systems, data science / advanced data analytics or a related technical discipline including information technology, engineering, computer science, statistics and applied mathematics.
  • Experience:
  • More than 5+ years of hands on experience in deploying AI & ML solutions to production in a DevOps environment with knowledge of CI/CD pipelines. Expertise in building machine learning platforms and data pipelines at scale
  • 7+ years hands on experience and strong coding fluency in Python, R, Bash, C++ or Java.
  • Experience with interactive workloads, machine learning toolkits and how they integrate with cloud computing e.g. -Databricks along with ML flow, Kubernetes and Docker containerization.
  • Advanced skills in working with relational SQL data stores (Microsoft SQL, MySQL or similar) & unstructured databases such as MongoDB.
  • Experience in building large scale data pipelines and distributed computing with Hadoop/Spark
  • Experience in cloud computing platform. Microsoft Azure is preferred.
  • Strong experience in managing diverse data types (XML, JSON, Images etc.) and sources
  • Experience in conducting UAT and knowledge of testing methodologies & related documentations
  • Basic theoretical knowledge of AI, ML and DL methods
  • Proven experience overseeing less experience data engineers
  • Ability to craft new technical solutions to problems
  • Practical understanding of Web applications, RESTful APIs and microservices is a must
  • Visualization in Power BI, D3.js, Dash, JavaScript, etc. is an advantage
  • Experience in insurance/reinsurance industry would be an advantage and specifically on the topics of underwriting, claims automation and fraud detection
  • Stakeholder management:
  • Working with multiple stakeholders across the analytics lifecycle
  • Strong communication in:
  • Documenting analytics deployment solution (e.g. MSWord, PowerPoint, Notebooks, etc.)
  • Verbally explaining solution architectures & concepts to non-technical audiences and domain experts
  • Ability to deliver under short but reasonable timelines
  • Capacity for innovation, entrepreneurial mindset, forward-looking, enjoy working in a team
  • Good command of English essential
  • Willingness to travel within Asia for short periods