Intern Data Specialist 2027 - AI & Analytics International Business Machines CorpIntern Data Specialist 2027 - AI & AnalyticsLansing, MIAs part of this opportunity, you will be aligned to the following practice: AI, Analytics, Automation & Data Services - focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI-driven solutions that improve business performance and decision-making. Throughout your internship, you'll collaborate with experienced data specialists, data engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions.
Full Stack Java - AI Assisted Development Custom Business Solutions, IncFull Stack Java - AI Assisted DevelopmentOkemos, MIIn addition, the ideal candidate should demonstrate strong proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot or similar coding agents) to improve development efficiency, code quality, and delivery timelines. The ideal candidate should have at least 8 years of experience and be a strong problem solver with excellent analytical reasoning and critical thinking skills.
Associate Data Engineer 2027 - AI & Analytics International Business Machines CorpAssociate Data Engineer 2027 - AI & AnalyticsLansing, MIAs an Associate Data Engineer at IBM, you'll help organizations transform data into actionable insights that improve decision-making, accelerate innovation, and solve complex business challenges. No two projects are exactly alike-you could support healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing clients.
Creative Product Technologist, Data & AI Wasserman Media Group LLC (London)Creative Product Technologist, Data & AILansing, MIData fluency and data visualization - working with structured datasets, APIs, BI/dashboard tools, and SQL literacy; ability to understand data models, join datasets, QA outputs, and partner with data/engineering teams on Snowflake, Tableau, or similar workflows. 4-6+ years building and shipping digital products - web apps, interactive tools, dashboards, prototypes, or internal platforms - with a portfolio of live or pilot-ready work that shows clear evidence of your role.