Experian - IT Internship (AI)

Deadline: As soon as possible

Internships

Companies

Location(s)

Malaysia

Ground Floor, Quill 18, Lingkaran Teknokrat 3 Barat, 63000 Cyberjaya, Selangor

Overview

We are seeking a passionate and highly motivated AI Intern to support our artificial intelligence and machine learning initiatives. In this role, you will work alongside experienced data scientists, engineers, and product teams to help design, build, and test AI-driven solutions that enhance business performance and user experience. This internship is ideal for students or recent graduates eager to gain hands-on experience in real-world AI development, research, and analytics.

Details

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Key Responsibilities

Assist in developing, training, and evaluating machine learning and deep learning models.
Clean, preprocess, and analyze structured and unstructured datasets.
Support the team in building prototypes and proof-of-concept AI solutions.
Conduct literature reviews on the latest AI/ML techniques and tools.
Collaborate with cross-functional teams to understand business problems and propose AI-driven solutions.
Document model development processes, workflows, and performance results.
Assist in automating tasks using Python, AI APIs, or visualization tools.
Participate in team meetings, brainstorming sessions, and sprint review

Opportunity is About

Computers & IT Engineering

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

Qualifications

Bachelors of IT related fields
Basic understanding of Python and popular AI/ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
Exposure to machine learning concepts such as regression, classification, clustering, and model evaluation.
Familiarity with data visualization tools (e.g., Matplotlib, Power BI, Tableau).
Understanding of APIs, cloud platforms (Azure, AWS, GCP), or SQL is a plus.
Knowledge of GenAI tools or LLMs (ChatGPT, Azure OpenAI, etc.) is an added advantage.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

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