Co-Op Data Scientist 2027

IBM is hiring a Co-Op Data Scientist to work on client projects and build professional experience in data science and analytics. The role may involve statistical analysis, generative AI, data integration and transformation, and communicating analytical results to technical and non-technical audiences.

Responsibilities

• 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

Skills

• 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
• 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
• 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

• Supplemental 1 employees may be eligible for up to 8 paid holidays
• Supplemental 1 employees may be eligible for a minimum of 56 hours paid sick time
• Supplemental 1 employees may be eligible for the IBM Employee Stock Purchase Plan
• Paid family medical leave and disability benefits to eligible employees where required by applicable law

Company Overview