Data Management (Excel): Work on advanced data management tasks using Microsoft Excel (e.g., creating dashboards, cleaning datasets, generating pivot tables, etc.).
Support the deployment, configuration, and maintenance of high-end servers, storage servers, networking equipment, and software components in secure environments.
People Analytics & Workforce Modeling: Support the development of predictive models and dashboards for employee turnover, retention drivers, talent acquisition, and workforce planning.
People Analytics & Workforce Modeling: Support the development of predictive models and dashboards for employee turnover, retention drivers, talent acquisition, and workforce planning.
Engage business stakeholders to understand operational challenges, gather requirements, and translate business needs into clearly defined Data Science and AI project objectives.
Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy.
Assist in setting up development environments, reviewing existing codebases, and supporting the design of application architectures and AI-enabled solutions.
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
The Career Conversion Program (CCP) training period lasts for 15 months. Structured on-the-job training (OJT) will be provided and conducted at the participating companies to facilitate the application of learning and to ensure that individuals acquire necessary competencies to perform at their job.
Collaborate with product owners, data engineers, and partners across all product development stages - from concept and design to prototyping, testing, data curation, deployment, industry scaling, and end-of-life.
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
The role focuses on enabling AI capabilities within Infineon’s manufacturing operations to drive cost reduction and efficiency improvements. By understanding business requirements and developing scalable solutions, the intern will help deploy AI models on cloud platforms to optimize production processes.
Represents Data as an Asset culture, works in partnership with business and IT teams and to: a) identify data that is important for Keppel (CDE/KDE). b) implement the Data Quality framework.