AI & Machine Learning Intern at Pearson | CampusToCareer

Job Details & Requirements

Verified Employer Listing

Job Description

Associate, AI & Machine Learning Intern

AI & Machine Learning Intern – Global Payroll Technology Team

Location: Bangalore, India (Hybrid)

Duration: 3 - 6 Months Internship

Department: Payroll Technology & Business Intelligence

🚀 Role Overview

Payroll Technology is building the next generation Global Command Center , a platform that combines payroll operations, automation, analytics, data intelligence, and AI-powered decision support. This aligns with the team's AI & Innovation and Payroll AI capability pillars documented within Payroll Technology.

We are looking for passionate engineering students to join our team as AI & Machine Learning Interns . This internship provides an opportunity to work on real-world AI initiatives, data-driven products, intelligent automation solutions, and next-generation payroll intelligence capabilities used across global payroll operations.

🎯 What Success Looks Like in This Role

Assist in developing and testing AI and Machine Learning models

Support data preparation, cleansing, transformation, and feature engineering activities

Build prototypes for AI-powered business solutions and intelligent automation

Analyze large datasets to identify patterns, trends, and insights

Develop data pipelines and model evaluation processes

Work with APIs, databases, and cloud-based AI services

Collaborate with software engineers, analysts, and business stakeholders

Participate in model testing, validation, and performance optimization

Research emerging AI technologies and contribute innovative ideas

Document AI solutions, experiments, and findings

Required Skills

Strong understanding of Python programming

Good knowledge of Data Structures and Algorithms

Basic understanding of Machine Learning concepts

Familiarity with data analysis using Pandas and NumPy

Strong analytical and problem-solving skills

Understanding of statistics and mathematical fundamentals

Ability to learn quickly and work in a collaborative environment

Preferred Skills

Familiarity with Scikit-learn

Exposure to Generative AI , LLMs , or Prompt Engineering

Knowledge of SQL and databases

Experience with Git and GitHub

Understanding of cloud platforms such as Microsoft Azure

Academic, personal, or hackathon projects involving AI, Machine Learning, Data Science, or Analytics

📋 Requirements & Qualifications

Currently pursuing B.E. / B.Tech

Preferred branches:

Computer Science Engineering (CSE)

Information Science & Engineering (ISE)

Information Technology (IT)

Artificial Intelligence & Machine Learning (AI/ML)

Data Science

Strong academic background and interest in Artificial Intelligence, Data Science, and Software Engineering

Technologies You Will Work With

Python

Pandas & NumPy

Scikit-learn

Azure AI Services

Azure Storage & Cloud Platforms

REST APIs

SQL

Git & GitHub

Generative AI & Large Language Models (LLMs)

Data Visualization & Analytics Tools

What You Will Gain

Hands-on experience building real-world AI solutions

Exposure to enterprise-scale AI and data platforms

Experience working with machine learning models and intelligent automation

Mentorship from experienced technology professionals

Opportunity to contribute to innovative AI products used by global teams

Practical understanding of cloud AI services and enterprise systems

Experience working on next-generation Payroll AI and business intelligence initiatives

Recommended Technical Skills

SQLPythonAzureGitMachine LearningData ScienceData Analysis

🎓 Preparation Guide for AI & Machine Learning Intern

Verified Guide • 4 min read

Pearson is accepting applications for the AI & Machine Learning Intern (Internship) role in Bangalore, India (Hybrid), targeted towards 2026, 2027 graduates (Fresher). Compensation is governed by company compensation bands and candidate assessment. Key skills highlighted for this position include SQL, Python, Azure, Git, Machine Learning, Data Science, Data Analysis. This guide provides independent candidate preparation notes to help you align your resume, review key competencies, and submit an informed application through Pearson's official portal.

Role Highlights & Candidate Considerations

Key factors to review before submitting your application for AI & Machine Learning Intern at Pearson:

✓ Verified entry-level opportunity for 2026, 2027 candidates looking to start a career at Pearson.

✓ Clear technical alignment if your portfolio demonstrates hands-on work with SQL, Python, Azure.

✓ On-site/hybrid collaboration at Bangalore, India (Hybrid), offering direct team interaction and mentorship.

✓ Opportunity to establish verified industry experience and build production project depth.

Important considerations:

• Fresher and entry-level openings receive high applicant volumes — early, well-tailored submissions are critical.

• Evaluation may include practical drills on listed competencies (SQL, Python).

Key Evaluation Focus Areas

Hiring panels for entry-level AI & Machine Learning Intern roles generally evaluate candidates across core fundamentals, practical implementation capability, and structured communication:

✓ Evidence of hands-on project implementation rather than just tutorial completions.

✓ Clear verbal explanation of technical decisions, architecture choices, and trade-offs.

✓ Strong grasp of core fundamentals relevant to the role category.

✓ Familiarity with standard developer tools (Git, terminal, clean code formatting).

Application Checklist for AI & Machine Learning Intern

Review these actionable items before clicking the application button:

1. Confirm graduation batch eligibility (2026, 2027) and location requirement (Bangalore, India (Hybrid)).

2. Ensure project descriptions mention measurable impact and specific tools used.

3. Verify all live demos, portfolio links, and GitHub repositories are publicly accessible.

4. Practice a structured walkthrough of your main project using the STAR method.

Frequently Asked Questions

Who is eligible to apply for AI & Machine Learning Intern at Pearson?

This opening is structured for Fresher candidates from the 2026, 2027 batch in Bangalore, India (Hybrid). Candidates should review the official job posting to verify degree specializations and eligibility criteria.

Do I need prior full-time experience for this role?

No, this is an entry-level/fresher opportunity (Fresher). Prior full-time corporate experience is not required. Strong academic foundations, internships, personal builds, or open-source contributions that demonstrate relevant skills are effective proof of capability.

What technical depth and skills are evaluated in interviews?

Candidates should focus on core fundamentals (SQL, Python, Azure), clean code practices, and the ability to explain the architecture and problem-solving behind their personal or academic projects.

How does CampusToCareer verify this job listing?

Every job on CampusToCareer is manually verified against the employer's official careers portal before listing, and opportunities are maintained for a 14-day freshness window to prevent stale applications.

What should I do if the application link is no longer accepting responses?

If a listing has reached its application cap on the employer portal, visit Pearson's official careers website directly to check for re-opened positions or related opportunities.

AI & Machine Learning Intern