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Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Manager, Data Scientist, Data Management Office

Salary undisclosed
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About UOBUnited Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.About the DepartmentData Management Office (DMO)DMO believes that data is key to responsible innovation, growth, and competitive advantage in the banking industry. Our mission is to leverage our data assets to create value for our customers, stakeholders and employees. We achieve this by defining, and executing to, enterprise data strategies and transformation, delivering valuable and trusted data to the organisation via the most efficient and responsible manner, ensuring robust data governance via strong enforcement, literacy, and management of emerging data risks and data regulatory compliance, as well as bringing Artificial Intelligence (“AI”) solutions to our business stakeholders to drive monetisation of our data assets.Job Responsibilities
  • Master of AI and data science algorithms and techniques.
  • Work with stakeholders to provide deep expertise and advisory on advanced data analytics needs.
  • Focuses on developing AIDA models to assist business units to draw insights and make predictions from data.
  • Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives.
  • Participate in requirements gathering process with business units to understand the gaps and opportunities.
  • Participate in and apply best practices in software development / MLOps for the as part of the software development lifecycle (inception, development, staging, deployment, monitoring, retirement).
  • Produce high quality deliverables/document, with-ready-to-use content.
  • Conduct big data sourcing, wrangling, exploration and PoC rapid prototyping to discover trends and patterns.
Job Requirements
  • Bachelor / Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Strong working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost
  • Able to develop SQL queries and working with data models. Possess the ability to query and use large, robust data sets across traditional Data Warehouse and Hadoop platforms
  • Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD
  • Ability to communicate analytic findings clearly and convincingly to business
  • Achieved consistently convincing success in framing quantitatively rigorous and data driven approaches to solve highly complex business problems
  • Self motivated team player, able to ideate innovative solutions and work independently
  • Experience with data visualization packages and/or tools a plus
Be a part of UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a difference.Apply nowStartPlease wait...
About UOBUnited Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.About the DepartmentData Management Office (DMO)DMO believes that data is key to responsible innovation, growth, and competitive advantage in the banking industry. Our mission is to leverage our data assets to create value for our customers, stakeholders and employees. We achieve this by defining, and executing to, enterprise data strategies and transformation, delivering valuable and trusted data to the organisation via the most efficient and responsible manner, ensuring robust data governance via strong enforcement, literacy, and management of emerging data risks and data regulatory compliance, as well as bringing Artificial Intelligence (“AI”) solutions to our business stakeholders to drive monetisation of our data assets.Job Responsibilities
  • Master of AI and data science algorithms and techniques.
  • Work with stakeholders to provide deep expertise and advisory on advanced data analytics needs.
  • Focuses on developing AIDA models to assist business units to draw insights and make predictions from data.
  • Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives.
  • Participate in requirements gathering process with business units to understand the gaps and opportunities.
  • Participate in and apply best practices in software development / MLOps for the as part of the software development lifecycle (inception, development, staging, deployment, monitoring, retirement).
  • Produce high quality deliverables/document, with-ready-to-use content.
  • Conduct big data sourcing, wrangling, exploration and PoC rapid prototyping to discover trends and patterns.
Job Requirements
  • Bachelor / Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Strong working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost
  • Able to develop SQL queries and working with data models. Possess the ability to query and use large, robust data sets across traditional Data Warehouse and Hadoop platforms
  • Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD
  • Ability to communicate analytic findings clearly and convincingly to business
  • Achieved consistently convincing success in framing quantitatively rigorous and data driven approaches to solve highly complex business problems
  • Self motivated team player, able to ideate innovative solutions and work independently
  • Experience with data visualization packages and/or tools a plus
Be a part of UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a difference.Apply nowStartPlease wait...