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Please Turn on your JavaScript

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.
Visit Site here
  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.
Visit Site here
  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.
Visit Site here
  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).
Visit Site here
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Jobs or company...

Junior Data Scientist

Salary undisclosed
Checking job availability...
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Simplified
Primary Details Time Type: Full timeWorker Type: Contingent WorkerThe purpose of this role is to contribute to data science projects, ensuring the scientific integrity of work products in assigned business areas. Additionally, the role involves providing data modelling and analysis support, optimising processes through Machine Learning, and serving as a modelling and data science partner for specific business areas to enhance work products' scientific integrity.Responsibilities:
  • Collaborate with other analytics team memebers to size analytical opportunities and create delivery plans for positive commercial returns.
  • Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth.
  • Assist in developing commercial propositions using analytics within insurance core functions.
  • Development of own knowledge of new feature sets and explore machine learning algorithms for extracting new features.
  • Provide subject matter guidance to build and deploy models, and analyse model performance.
Work Experience:Necessary Work Experience includes:
  • Some relevant work experience.
Preferred Work Experience includes:
  • Experience in producing insights from large datasets using R, Python, Spark.
  • Collaborative programming project experience.
  • Comfortable working in a Linux environment.
  • Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering.
Qualifications:Necessary Qualifications include:
  • Tertiary Degree or equivalent combination of education and work experience.
Preferred Qualifications include:
  • Postgraduate Degree.
  • Degree qualified in econometrics, mathematics, statistics or related discipline.
Global Disclaimer:The duties listed in this job description do not limit the assignment of work. They are not to be construed as a complete list of the duties normally to be performed in the position or those occasionally assigned outside an employee’s normal duties. Our Group Code of Ethics and Conduct addresses the responsibilities we all have at QBE to our company, to each other and to our customers, suppliers, communities and governments. It provides clear guidance to help us to make good judgement calls.Skills: Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Strategic Leadership, Team ManagementHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Primary Details Time Type: Full timeWorker Type: Contingent WorkerThe purpose of this role is to contribute to data science projects, ensuring the scientific integrity of work products in assigned business areas. Additionally, the role involves providing data modelling and analysis support, optimising processes through Machine Learning, and serving as a modelling and data science partner for specific business areas to enhance work products' scientific integrity.Responsibilities:
  • Collaborate with other analytics team memebers to size analytical opportunities and create delivery plans for positive commercial returns.
  • Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth.
  • Assist in developing commercial propositions using analytics within insurance core functions.
  • Development of own knowledge of new feature sets and explore machine learning algorithms for extracting new features.
  • Provide subject matter guidance to build and deploy models, and analyse model performance.
Work Experience:Necessary Work Experience includes:
  • Some relevant work experience.
Preferred Work Experience includes:
  • Experience in producing insights from large datasets using R, Python, Spark.
  • Collaborative programming project experience.
  • Comfortable working in a Linux environment.
  • Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering.
Qualifications:Necessary Qualifications include:
  • Tertiary Degree or equivalent combination of education and work experience.
Preferred Qualifications include:
  • Postgraduate Degree.
  • Degree qualified in econometrics, mathematics, statistics or related discipline.
Global Disclaimer:The duties listed in this job description do not limit the assignment of work. They are not to be construed as a complete list of the duties normally to be performed in the position or those occasionally assigned outside an employee’s normal duties. Our Group Code of Ethics and Conduct addresses the responsibilities we all have at QBE to our company, to each other and to our customers, suppliers, communities and governments. It provides clear guidance to help us to make good judgement calls.Skills: Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Strategic Leadership, Team ManagementHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.