Data Scientist/AI Engineer

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 by 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.

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.

Good interpersonal, communication and customer relationship skills
Experience of applying advanced analytics and predictive modelling techniques in a professional context
Experience of working within an Agile environment
Experience with LLM’s, vectorDB’s.
Experience with Azure, AWS, GCP or IBM cloud platforms
Experience with models from Hugging Face, Ollama, FastAPI, Transormers, Pydantic

Your Role And Responsibilities

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.

Your Primary Responsibilities Include

Designing and developing challenging solutions that automate various aspects of data acquisition, ingestion, storage, access and transformation of data.
You will leverage a variety of machine learning techniques to solve data related challenges.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

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
Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
Well versed/ good understanding of Python programming language

Toolbox: Ollama, Pandas, Scikit-learn, Matplotlib, Github, TensorFlow, Flask, Langchain, ChromaDB.

Preferred Technical And Professional Experience

Preferred Professional and Technical Expertise:

Good 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 Langchain and and/or Agentic frameworks.
Experience with Azure, AWS, GCP or IBM cloud platforms.
Experience with models from Hugging Face, FastAPI, Transormers, Pydantic.
Experience with Docker and Kubernetes is a plus.

Data Scientist/AI Engineer

Key Skills

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