As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As Data Scientist at IBM, you will work to solve business problems using Python (from scripts to applications), combined with IBM tools and our AI application suites.
You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
- Education in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Basic understanding of Large Language models.
- Experience of applying advanced analytics and predictive modelling techniques in a professional context
- Experience of working within an Agile environment
- Experience with SQL and NoSQL databases
- Experience with Azure, AWS, GCP or IBM cloud platforms is a plus
- Experience with models from Hugging Face, FastAPI, Transormers, Pydantic, OpenCV