Advance the hybrid cloud and AI journey for clients by leveraging data analysis, data integration, and technical transformation.
Requirements
- Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation.
- 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.
Responsibilities
- applying analytical rigor and statistical methods to predict behaviors.
- Develop skills in writing efficient and reusable programs to cleanse integrate and model data.
- Evaluate model results contributing to data-driven insights.
- Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
- 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.
Other
- 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.
- IBM will not provide visa sponsorship for this position. Eligible candidates must not require sponsorship now or in the future to be considered for this role.
- Candidates must be local to their assigned Client Innovation Center location or willing to relocate prior to their start date at their own expense.
- Average on-site work requirement at the local IBM office is at least 3 days per week.
