Data Scientist-Artificial Intelligence

International Business Machines Corporation; Al Bahah; Hybrid; SAR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working patterns

Job summary

IBM in Al Baha, Saudi Arabia is seeking an entry-level Data Scientist specializing in Artificial Intelligence. You will support design, build, and deployment of AI/ML solutions under senior guidance across the project lifecycle.

You will collect and preprocess data, perform EDA, and help translate requirements into analytical problems. The role emphasizes collaboration with business stakeholders, cross-functional teams, and a focus on responsible AI, data privacy, and model monitoring in

Qualifications

• Proficiency in Python for data analysis and ML with NumPy, Pandas, Matplotlib.
• Strong foundation in statistics, probability, linear algebra, and hypothesis testing.
• Familiarity with ML algorithms (regression, classification, clustering) and model evaluation.
• Experience with TensorFlow, PyTorch, or scikit-learn for modeling tasks.
• Knowledge of SQL and data wrangling techniques.
• Good English communication and teamwork skills.

Responsibilities

• Design, build, and deploy AI/ML solutions to business problems.
• Work under supervision on end-to-end AI/ML projects across lifecycle.
• Collect, clean, explore, and preprocess data from multiple sources.
• Perform EDA to uncover patterns and insights for stakeholders.
• Train, evaluate, and fine-tune models (classification, NLP, CV).
• Apply MLOps practices to productionize models and dashboards for stakeholders.
• Document experiments and maintain reproducibility.

Skills

Python

NumPy

Pandas

Matplotlib

ML algorithms

NLP

Computer Vision

SQL

EDA

Teamwork

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Docker

Kubernetes

Job description

## Data Scientist-Artificial IntelligenceAl Baha, Al Bāḩah, Saudi ArabiaEntry Level* Email* X* LinkedInApply nowIntroductionA 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 responsibilitiesAs 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 educationBachelor's DegreeRequired technical and professional expertiseStrong 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.Preferred technical and professional experienceHands-on project experience in machine learning, NLP, computer vision, or generative AI through academic work, internships, or personal projects. Familiarity with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or fine-tuning techniques. Exposure to MLOps practices and tools such as MLflow, Kubeflow, or DVC for experiment tracking, model versioning, and deployment. Experience with cloud AI platforms such as IBM watsonx, AWS SageMaker, Google Vertex AI, or Azure Machine Learning. Knowledge of big data tools such as Apache Spark, Hadoop, or Databricks. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with version control using Git and collaborative development workflows. Knowledge of data visualization tools such as Power BI, Tableau, or Plotly Dash. Understanding of Agile or Scrum delivery methodologies. Published research, Kaggle competition participation, or open-source contributions related to AI or data science. IBM AI Engineering Professional Certificate, Google Professional ML Engineer, AWS Certified Machine Learning, or equivalent credential.### ABOUT BUSINESS UNITIBM 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 @ IBMIn 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 IBMIBM’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 DETAILSIBM 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.Job TitleData Scientist-Artificial IntelligenceJob ID137723City / Township / VillageAl BahaState / ProvinceAl BāḩahCountrySaudi ArabiaWork arrangementHybridArea of workData & AnalyticsEmployment typeFixed Term (Fixed Term)Position typeEntry LevelTravel requiredUp to 60% or 3 days a week (home on weekends - based on project requirements)Company(1036) IBM Middle East FZ-LLC Saudi Arabia BranchShiftGeneral (daytime)Is this role a commissionable/sales incentive based position?No