Data Scientist-Artificial Intelligence

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Scientist specializing in Artificial Intelligence, you will help design, build, and deploy AI and machine learning solutions that solve real business problems. As an entry-level team member, you will work under the guidance of senior data scientists and AI architects across the full project lifecycle.

Take part in end-to-end AI and ML projects, from problem definition and data collection through model deployment and monitoring.

Work with business stakeholders and subject matter experts to understand requirements and translate them into analytical problem statements.

Collect, clean, explore, and preprocess structured and unstructured data from multiple sources.

Perform exploratory data analysis (EDA) to uncover patterns, trends, anomalies, and relationships in data.

Build, train, evaluate, and fine-tune machine learning and deep learning models for tasks such as classification, regression, clustering, natural language processing (NLP), and computer vision.

Apply statistical analysis, hypothesis testing, and feature engineering to improve model performance.

Use frameworks such as TensorFlow, PyTorch, or scikit-learn to develop and experiment with models.

Help integrate and deploy models into production environments using MLOps tools and cloud platforms.

Build dashboards and data visualizations to communicate findings and model results to technical and non-technical audiences.

Document methodologies, experiments, model performance, and assumptions in a clear and reproducible way.

Follow responsible AI principles, including fairness, transparency, explainability, and data privacy.

Stay current with the latest AI research, tools, and techniques, and apply relevant advances to ongoing work.

Work with cross-functional teams including engineers, architects, and business analysts, and report progress to the project lead.

Required education

Bachelor's Degree

Required technical and professional expertise

• Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions.

• AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer.

• Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI models.

• NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.

• Cloud Platforms and Databases: Experience working with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB).

Preferred technical and professional experience

Strong foundation in mathematics, statistics, and probability, including linear algebra, calculus, hypothesis testing, and distributions.

Proficiency in Python for data analysis and machine learning, including libraries such as NumPy, pandas, and Matplotlib.

Working knowledge of machine learning algorithms, such as linear and logistic regression, decision trees, random forests, support vector machines, and k-means clustering.

Understanding of model evaluation metrics, cross-validation, overfitting, and bias-variance trade-off.

Basic knowledge of deep learning concepts, including neural networks, activation functions, backpropagation, and common architectures (CNN, RNN, Transformer).

Familiarity with at least one ML framework such as scikit-learn, TensorFlow, or PyTorch.

Working knowledge of SQL and experience querying relational databases.

Understanding of data wrangling, feature engineering, and preprocessing techniques.

Good verbal and written communication skills in English, with the ability to explain complex findings simply.

Strong problem-solving, critical thinking, and analytical skills.

Willingness to work in a team, learn quickly, and take feedback.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.