Associate Data Scientist Intern 2025
Chicago, US
Internship Entry-level / Junior USD 60K - 110K
IBM
For more than a century, IBM has been a global technology innovator, leading advances in AI, automation and hybrid cloud solutions that help businesses grow.As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you’ll experience this culture and could advance to our associate program based on results and performance.
Work experiences you could be exposed to:
- Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
- Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights.
- Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
- Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.
The location for this position is:
- Chicago, IL.
These positions are anticipated to start in summer 2025.
The below requirements are guidelines. If you have transferable skills, we encourage you to apply for this
Required Technical and Professional Expertise
- Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
- Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints
- Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges
- Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation
Preferred Technical and Professional Expertise
- Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications
- General familiarity with databases, data-engineering tools (SQL, spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus
- Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus
Key Job Details
Role:Associate Data Scientist Intern 2025 Location:Chicago, US Category:Data & Analytics Employment Type:Full-Time Travel Required:Up to 80% or 4 days a week (home on weekends – based on project requirements) Contract Type:Internship Company:(0147) International Business Machines Corporation Req ID:742014BR
Projected Minimum Salary:$60,000 per year Projected Maximum Salary:$60,000-$110,000/year per year Date Posted:December 2, 2024
Tags: Agile AWS Azure Computer Science Consulting Data Mining Data pipelines Engineering ETL Generative AI LLMs Mathematics NLP Open Source Pandas Pipelines Python PyTorch Scikit-learn SciPy Spark SQL Statistics
Perks/benefits: Career development Flex hours Startup environment
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