Introduction Introduction
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. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You\'ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you\'ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role And Responsibilities
Collaborate effectively with team members, both business and technical, to understand data-driven challenges and opportunities
Maintain a strong focus on learning, quality, and continuous improvement
Support the analysis and resolution of data inconsistencies and model performance issues
Assist in developing and experimenting with machine learning models and analytical solutions to improve insights and decision-making
Contribute to data preprocessing, feature engineering, and exploratory data analysis to enhance model performance
Help document technical requirements and support the development of data-driven solutions
Preferred Education Bachelor\'s Degree
Required Technical And Professional Expertise
Minimum 2 years working as a data scientist with demonstrated involvement in AI-related projects
Academic background in data science, statistics, computer science, or a related field
Familiarity with machine learning concepts and statistical modeling techniques through coursework or academic projects
Eagerness to learn and support technical teams in identifying and resolving data-related challenges
Understanding of data modeling concepts and database principles
Basic programming skills in SQL, Python, R or equivalent language for data analysis and model development
Interest in obtaining relevant certifications in data science, machine learning, or cloud-based analytics platforms (e.g., AWS, Azure, GCP)
Preferred Technical And Professional Experience
Agile mindset - willingness to learn, adapt to changing priorities, take initiative, and apply critical thinking
One Of The Following
Basic understanding of data governance principles and best practices
Exposure to data visualization and storytelling using analytical tools
Familiarity with cloud-based machine learning concepts and model deployment basics
Foundational knowledge of statistical analysis, machine learning algorithms, and data preprocessing techniques
Availability to travel is required
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