[2026 IBM Consulting Associates] Data Engineer - Advanced Analytics

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. In this role you will join IBM Consulting via our world class Associate Program for university hires. As an Associate at IBM Consulting you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals, who believe no problem is too big to solve. We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you. As a Data Engineer with Advanced Analytics expertise, you will specialize in formulating mathematical approaches to solve complex business problems and utilize predictive analytics tools to draw conclusions and present findings. You will design, build, and manage solutions that involve preparing data, performing statistical analysis, and deploying analysis results. In role you may be responsible for: • Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results. • Perform Statistical Analysis: Perform statistical analysis and utilize predictive analytics tools like SPSS to draw conclusions and present findings. • Prepare Data: Gather and prepare data for advanced analytics projects, ensuring data quality and integrity. • Apply Mathematical Optimization: Apply mathematical optimization, discrete-event simulation, and rules programming to solve complex business problems. • Deploy Analysis Results: Deploy analysis results and present findings to stakeholders, providing insights and recommendations for business improvement. • 어플리케이션 개발에 대한 기본 이해 • Java, Python, SQL 등 개발 기술 • Front-end와 Back-end 구조에 대한 이해 • 시스템 구축 프로젝트와 개발 업무에 대한 관심 • 논리적 사고, 문제 해결 능력 및 협업 역량 • 공인 영어 시험 성적 보유자 (점수 제한 없음, 이력서 내 기재 필수) • Predictive Modeling Techniques: Exposure to predictive modeling techniques, such as regression, decision trees, and clustering, to enhance advanced analytics capabilities. • Data Visualization Tools: Experience working with data visualization tools to effectively communicate insights and findings to stakeholders. • Machine Learning Algorithms: Exposure to machine learning algorithms, such as neural networks and random forests, to expand analytical capabilities.