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State College, PA

Internship

Onsite

Intern

IBM is a global technology and consulting company focused on helping clients advance through hybrid cloud and artificial intelligence. The Co-Op Data Scientist will work on client projects, applying statistical and analytical methods, developing generative AI models, building data pipelines, integrating data, and communicating analytical findings.

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Responsibilities

During your co-op, 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 industry, 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 have the opportunity to advance to our associate program based on results and performance
Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors
Generative Artificial Intelligence (AI): Work alongside experienced practitioners to implement generative AI models and algorithms for various applications such as conversational computing, natural language processing, and audio processing. Work with large datasets to train and evaluate generative models, and optimize their performance using various techniques
Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights
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
Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings

Qualification

Required

High School Diploma/GED
Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field with an anticipated graduation date of May 2026 or later
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
Ability to work in-office, on-site in State College, PA during the academic year
Ability to work up to 20 hours per week when classes are in session (e.g., fall and spring semesters) and availability to potentially work up to 40 hours per week during academic breaks (e.g., summer)
Must have the ability to obtain and maintain a Federal clearance, if necessary, for your client assignment
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship

Preferred

Bachelor's Degree
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 (AutoGen, Langraph and Lanchain, watsonx orchestrate, openAI) is a plus
Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus

Benefits

At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship.
The opportunity to advance to our associate program based on results and performance.
Supplemental 1 employees may be eligible for up to 8 paid holidays.
Supplemental 1 employees may be eligible for minimum of 56 hours paid sick time.
Supplemental 1 employees may be eligible for the IBM Employee Stock Purchase Plan.
IBM offers paid family medical leave to eligible employees where required by applicable law.
IBM offers disability benefits to eligible employees where required by applicable law.

IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.

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