Data Scientist, Senior Manager, Technology Consulting - Toa Payoh

apartmentERNST & YOUNG ADVISORY PTE. LTD. placeToa Payoh descriptionPermanent calendar_month 
At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

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, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations.
We go beyond strategy and provide end to end design, build and 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.

We are looking for a Data Scientists within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

The Opportunity

We are currently seeking a Senior Manager - Data Scientist who possesses a solid blend of data analytics and management skills. The incumbent will be responsible for applying data-oriented programming languages and visualization software to transform raw data into actionable insights.

The role requires the application of data mining, data modeling, natural language processing, and machine learning techniques to analyze large structured and unstructured datasets.

Responsibilities
  1. Develop and implement solutions and analytics applications for transforming raw data into meaningful information using data-oriented programming languages and visualization software.
  2. Apply advanced techniques such as data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  3. Visualize, interpret, and report data findings to stakeholders across the organization. Responsibilities may also include creating dynamic data reports.
  4. Lead a team of data professionals and oversee all initiatives and projects in data analytics.
  5. Develop, analyze, and interpret complex data sets using statistical techniques to extract insights and support business strategies.
  6. Implement data-driven solutions based on advanced Machine Learning and statistical models.
  7. Work closely with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
  8. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  9. Create meaningful data reports, visualizations, dashboards, and present these to stakeholders.
  10. Maintain up-to-date technical knowledge in the field of Data Science and participate in professional development opportunities as required.
What we look for
  • You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
  • You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
  • You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

Skills and Qualifications:

  1. Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a similar field.
  2. Proven experience as a Data Scientist, or similar role.
  3. Knowledge of programming languages, preferably R, Python or Java.
  4. Proficient in using ML frameworks such as TensorFlow, Keras, or PyTorch.
  5. Strong experience in SQL and experience with databases.
  6. Adeptness in using Big Data frameworks, such as Hadoop, Spark or others.
  7. Solid understanding of machine learning principles, and extensive experience with predictive analytics and statistical modeling.
  8. Strong problem-solving skills with an emphasis on product development.
  9. Excellent communication and collaborative skills

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.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

Apply now.

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