Epicareer Might not Working Properly
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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...

Summer Internship 2025 - Data Science

Salary undisclosed
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Job Description

Key Responsibilities:
  • Work with senior data scientists to explore, pre-process and analyse datasets to derive new insights.
  • Contribute to relevant business presentations for senior management to walkthrough the analytics solution & insights.
  • Work with fellow data scientists, data engineers and central tech team to deploy the solution in production.
  • Liaise and support business stakeholders throughout the project lifecycle.
  • Follow software best practices to code and document the solution

Requirements:
  • In depth knowledge of supervised and unsupervised ML Models – linear & logistic regression, clustering, tree-based models like random forest, bagging and boosting models.
  • In depth knowledge on feature engineering techniques, hyperparameter tuning and model evaluation.
  • Proven track record of applying ML models to solve & measure business impact.
  • Proficient in coding - Python & SQL programming
  • Intermediate level knowledge of data science frameworks like Pandas, NumPy & visualization libraries like Seaborn, Plotly etc.
  • Proven track record of learning and application of relevant business context required to solve the problem at hand.
  • Good communication and presentation skills to explain the findings and insights from analysis to business stakeholders.
  • Knowledge of software best practices, CI/CD, Cloud platforms is a plus.
  • Knowledge about Generative AI techniques – like prompt engineering, fine tuning and frameworks like Lang chain & Llama Index is a plus