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State College, PA

Internship

Hybrid

Intern

IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services. The Data Scientist (AI Engineer) Co-Op role offers an exceptional opportunity for interns to gain professional experience while working on client projects, enhancing their knowledge and skills in AI and data analytics. Interns will receive mentorship and develop their abilities in various technical areas including generative AI, data integrations, and effective communication.

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Responsibilities

Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
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.
Develop skills in writing efficient and reusable programs to cleanse integrate and model data.
Evaluate model results contributing to data-driven insights.
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.
Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.

Qualification

Required

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.

Preferred

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.