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Introduction
IBM is a leading technological company that innovates and transforms industries and societies. We're committed to making the world a better place through the application of technology and expertise. We're seeking highly motivated and talented Data Scientists to join our team as interns. As a Data Scientist Intern at IBM, you'll work on real-world projects that drive business outcomes and contribute to the development of AI, machine learning, and data analytics solutions. You'll have the opportunity to work with a diverse team of experts and develop skills in data science, analysis, and interpretation.
Your Role And Responsibilities
Education
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is a leading technological company that innovates and transforms industries and societies. We're committed to making the world a better place through the application of technology and expertise. We're seeking highly motivated and talented Data Scientists to join our team as interns. As a Data Scientist Intern at IBM, you'll work on real-world projects that drive business outcomes and contribute to the development of AI, machine learning, and data analytics solutions. You'll have the opportunity to work with a diverse team of experts and develop skills in data science, analysis, and interpretation.
Your Role And Responsibilities
- Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions
- Work on data analysis, machine learning, and AI projects to drive business outcomes
- Develop and deploy models using various machine learning algorithms and techniques
- Interpret results, provide insights, and communicate findings to stakeholders
- Collect, process, and analyze large datasets
- Develop data visualizations to communicate insights and findings
- Use statistical and data analysis techniques to identify trends and patterns
- Work closely with data engineers, software developers, and product managers to integrate data science solutions
- Communicate complex technical concepts to non-technical stakeholders
- Collaborate with team members to share knowledge, best practices, and ideas.
- Opportunity to work on real-world projects and contribute to the development of AI, machine learning, and data analytics solutions
- Collaborative and dynamic work environment with a diverse team of experts
- Opportunity to develop skills in data science, analysis, and interpretation
- Professional development opportunities and mentorship.
Education
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- Strong programming skills in Python, R, or SQL
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Familiarity with data analysis and visualization tools such as Tableau, Power BI, or D3.js
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Professional level English, additional languages such as French or German are a key differentiator
- Previous experience in data science, machine learning, or a related field is a plus
- Previous exposure to NLP, GenAI, Agentic AI projects/solutions is a plus
- Experience with cloud-based platforms such as Microsoft Azure, AWS, IBM Cloud or GCP is a plus.
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
Key Skills
Ranked by relevance
machine learning
ai
data analysis
cloud
tensorflow
ibm cloud
power bi
tableau
python
aws
gcp
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- Posted
- Jul 10, 2025
- Type
- Full-time
- Level
- Internship
- Location
- Bucharest
- Company
- IBM
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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