Intern Data Specialist, AI & Analytics

IBM

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: —
Employment: Intern
Posted: 27 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $159k

$88k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $126,800–$191,250.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Intern Data Specialist, AI & Analytics

Role Posting Log in to save

Intern Data Specialist 2027 - AI & Analytics is a role within the IBM Consulting FutureNow Center where you will join the AI, Analytics, Automation & Data Services practice. You will work alongside experienced professionals to help organizations transform data into actionable insights, automate business processes, and develop AI-driven solutions. Your daily responsibilities include designing, building, testing, and maintaining data pipelines, as well as performing data preparation, transformation, and validation for analytics and automation projects. The role requires a foundation in programming concepts using Python, SQL, or Java, along with knowledge of databases, data structures, and cloud platforms. You will solve complex business challenges by managing structured and unstructured data to improve operational efficiency. Key technical areas include machine learning workflows, ETL/ELT concepts, and modern data architectures to support large-scale digital transformation initiatives across various industries.

Skills

Artificial Intelligence Machine Learning Generative AI Python SQL Java Data Engineering ETL/ELT Data Visualization Data Pipelines Analytics Automation Data Structures

What you'll do

Support data engineering services and AI initiatives to improve business performance and operational efficiency.
Assist in designing, building, testing, and maintaining data pipelines and modern data platforms.
Perform data preparation, transformation, validation, and quality activities for analytics and AI solutions.
Analyze structured and unstructured data to identify trends and generate actionable insights for decision-making.
Test and validate data engineering and analytics solutions to ensure scalable and trusted environments.
Collaborate with cross-functional teams to implement cloud technologies and enterprise data architectures.

What we're looking for

High School Diploma or GED.
Bachelor's degree (preferred).
Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies.
Basic understanding of databases, data structures, data processing, and how data supports business decision-making.
Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, projects, research, hackathons, or other practical learning.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies (preferred).

Save