Job Description

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies and systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

Your key responsibilities

• Lead a team of data scientists on both technical and business issues
• Develop data science projects by defining objectives and establishing timelines
• Communicate with stakeholders throughout the project lifecycle to provide updates on progress and ensure alignment with objectives
• Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
• Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies.
• Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you.
• Responsible for communicating analytics model behavior/results to business
• Apply strong understanding of data science techniques and libraries to business problems
• Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.

Skills and attributes for success

• At least 5 years\' experience in a Data Science/Machine Learning role
• Project delivery toolset experience in one or more batch ETL tools (such as Informatica, Microsoft SSIS or Talend) or open source data integration tools (such as Kafka or Nifi)
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Knowledge or background in data engineering is a plus
• Experience in data science, machine learning, statistical modeling data mining, and related fields
• Understanding of Big Data and cloud-based data architecture
• Demonstrated experience applying data science methods to real-world data problems
• Exceptional communication, documentation and presentation skills
• Proficient with relational databases (e.g. SQL), Python, R
• Degree in Computer Science, Data Science or IT

Ideally, you\'ll also have

• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects

What we look for

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you\'ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You\'ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We\'ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We\'ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You\'ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It\'s yours to build.

Apply now.

EY