Data Scientist Intern

IBM

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Armonk
Employment
Intern
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$96k $217k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$198,500.

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 268 open roles on FindRole.

Listed pay typically runs $187,136–$221,730 across 10 roles with salary data.

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At a glance

TL;DR · Data Scientist Intern

As a Data Scientist Intern in the AI, Automation and Data Platform organization, you will combine strategic thinking with technical skills to implement data-driven solutions. You will design and implement machine learning solutions and statistical models, managing the full lifecycle from problem formulation through deployment. Your daily work involves collecting, cleaning, and preprocessing structured and unstructured datasets to generate actionable insights. You will apply GenAI, traditional AI, ML, NLP, computer vision, and predictive analytics while utilizing cloud platforms and ML Ops. Key responsibilities include translating business requirements into technical strategies, creating data visualizations, and designing measurement frameworks to benchmark solutions against KPIs. You will collaborate with data engineers and software developers to integrate these AI solutions into existing systems to solve complex business problems.

What does a Data Scientist earn?

Median $171000 from 347 postings across 66 companies.

See salary data

What you'll do

  • Design and implement machine learning solutions and statistical models from problem formulation through deployment.
  • Collect, clean, and preprocess structured and unstructured datasets for analysis.
  • Apply GenAI, NLP, computer vision, and predictive analytics to solve complex business problems.
  • Translate business requirements into technical strategies and actionable data-driven recommendations.
  • Manage project lifecycles using agile strategies to ensure timely delivery of AI solutions.
  • Design measurement frameworks to benchmark AI solutions and quantify business impact through KPIs.
  • Create compelling data visualizations and dashboards to present findings to technical and non-technical audiences.
  • Integrate AI solutions into existing systems by working with data engineers and software developers.

What we're looking for

  • Design and implement machine learning solutions and statistical models from problem formulation through deployment.
  • Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics to analyze complex datasets.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Learn and utilize cloud platforms to ensure the scalability of AI solutions.
  • Apply ML Ops and AI ethics standards.
  • Translate business requirements into technical strategies and actionable recommendations.
  • Use agile strategies to manage and execute project work.
  • Create compelling data visualizations and dashboards for technical and non-technical audiences.

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