Data Scientist
Position title

Data Scientist

  • Able to work effectively and efficiently in a team.
  • Capable of producing quality outputs with minimal supervision.
  • Able to meet tight deadlines and project timeline, and is open to working beyond office hours.
  • Able to lead and coach his/her teammates.
  • Capable of reviewing output of staff.
  • Flexible and is willing to work in client sites within or beyond Metro Manila, and is open for secondment in other EY offices.
  • Has good attitude towards work and has a strong desire to learn.
  • Interested in pursuing a long-term career in ITA practice n Functional.
  • Project management skills
  • Able to organize project activities and schedules in line with the approach and methodology
  • Able to monitor the accomplishment of action items.
  • Able to prioritize project activities and workload accordingly when deadlines are tight.
  • Able to understand and plan for the client’s expectations.
  • Experience in working on projects utilizing agile project methodologies.
  • Experience in IT operations, software development and application and infrastructure support.
  • Able to respond promptly to all client requests while adhering to review procedures • Analytical skills.
  • Experience in conducting risk analysis and management.
  • Experience in performing data-driven analysis and synthesis, to draw insights.
  • Able to synthesize data enabling accurate identification of client issues and communicate clear explanations and suggested actions to the project team.
  • Technology skills.
  • Experience in the use of R, C, Java or Python programming languages, and associated machine learning libraries/packages.
  • Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.)
  • Communication skills.
  • Able to communicate effectively with client counterparts through structured questioning, careful listening and delivery of fact-based findings.
  • Able to present project outputs with clients.
  • Able to translate complex information into non-technical, easy to understand language
  • Apply data mining, machine learning, and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data.
  • Help clients make data-driven decisions through (a) analysis of structured and unstructured data sets, (b) build out predictive models and (c) advising our clients on data mining leading practices.
  • Design and develop solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process and analyze large, disparate data sets to exceed business requirements.
  • Unify, enrich and analyze customer data to derive new insights and opportunities.
  • Leverage in-house data platforms, as needed, and recommending and building new data platforms/solutions as required to exceed business requirements.
  • Conduct research and collection of relevant information and knowledge from internal resources to provide value-adding recommendations to clients.
  • Supervise and guide staff in the preparation of management reports.
  • Support Managers in proposal development.
  • Attend meetings with clients to understand their needs, and offer relevant insights and solutions.
  • Attend and participate in internal trainings.
  • Complete the required and assigned web-based learnings.
  • Prepare time reports in a timely manner.
  • Develop positive relationship with peers, supervisors and mentors/counselors who can provide advice and support
  • Responsible for providing support in ensuring that objectives of the projects and engagements for ITA practice is met.
  • Senior Associates are expected to conduct the detailed project activities, provide guidance to, and conduct first level review on the work of, his/her staff during the engagement.

To apply for this job email your details to

Employment Type
Job Location
Makati City
Base Salary
P 40,000
Date posted
13th June 2019
Valid through
31st July 2019
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Position: Data Scientist

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