IBM is a leading technology and consulting company, and they are seeking a Federal Data Scientist Intern to join their US Federal team. In this role, the intern will contribute to client projects, develop technical expertise, and gain insights into government compliance and security standards.
Responsibilities
Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors
Develop skills in writing efficient and reusable programs to cleanse integrate and model data
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
Qualification
Required
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
Willing to travel up to 100%
Candidates must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting-Federal
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 is a plus
Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus
Benefits
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.
