Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

#LI-hybrid

Your Role and Responsibilities
Data Science Projects

• 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

• 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 German nice to have

• Previous experience in data science, machine learning, or a related field is a plus
• Experience with cloud-based platforms such as IBM Cloud, AWS, or GCP is a plus