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Company Description: Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed…
Senior data scientist at Crown Equipment, a forklift and material handling manufacturer, building scalable data science pipelines and MLOps while deploying predictive/prescriptive models for manufacturing, supply chain, quality, and operations. Core work spans Python, SQL, machine learning, statistics, and optimization, with preferred exposure to cloud (Azure/AWS), computer vision, and IIoT.
Dual-study Bachelor of Science (DHBW) program in Business Informatics – Data Science at insurer WGV in Stuttgart, starting 01.09.2027. Students alternate every three months between university and practical phases, preparing and analyzing data with SQL, R, and Oracle databases to support business intelligence and software projects.
Leads the finance data science function at Al-Futtaim Automotive in Dubai, delivering predictive models (credit scoring, residual value, delinquency), finance dashboards/KPIs, and actionable insights for strategic decisions. Core stack: Python, SQL, Databricks, ML libraries (scikit-learn, TensorFlow, PyTorch) and time-series forecasting.
A healthcare data scientist at HealthHub (Al-Futtaim Health) in Dubai Festival City who builds Power BI/Tableau dashboards, executive reports, and predictive machine-learning models from clinical, claims, and operational healthcare data, using SQL, Python/R, and standards like ICD-10 and HL7/FHIR to improve patient outcomes and business decisions.
Internship (stage) at Rolex in Geneva in information systems / data science, open to students at universities, applied schools, or those completing a professional baccalaureate. The intern takes part in innovative IT/data projects; applications require a motivation letter, CV, and latest diploma, and the internship must typically be mandatory in the curriculum.
An MSc internship/graduation project at Canon Production Printing (Netherlands) focused on diagnosing print-quality anomalies with machine learning. The student builds a representative synthetic dataset from real production-printer measurements, and for longer assignments also designs, trains, and evaluates an ML model using Python, statistics, and data analysis.
BDO Unibank, the Philippines' leading full-service bank, is hiring an onsite Data Scientist in Makati to build analytical solutions - insights, visualizations, and machine learning models - solving business problems with partners across the bank. Core stack: R, Python, PowerBI, and SQL, with 5+ years in data and analytics.
Data Science Engineer at ams OSRAM in Bayan Lepas (Penang), Malaysia, supporting wafer map analytics and predictive modeling for optoelectronic device R&D. Day to day: identify data science use cases, prepare data, apply statistical methods, and build forecasting models in close collaboration with the German data science team.
Data Scientist / AI Engineer at ams OSRAM in Premstaetten (Austria) who builds and runs production AI and data-driven solutions: event streaming and data pipelines (e.g. Kafka), containerized deployment (Docker/Kubernetes/OpenShift), MLOps and CI/CD, plus AI-agent workflows, using Python, PyTorch or TensorFlow in an industrial setting.
A full-stack AI engineer at BDO Unibank who designs, builds, and maintains production GenAI applications (LLM/RAG chatbots, AI agents) end to end — React.js frontends, Python REST APIs, vector databases, and Azure/AWS deployment. Onsite role based in Makati/Ortigas, Philippines.
ams OSRAM is hiring a Data Scientist / AI Engineer in Premstaetten, Austria, to develop and operate data-driven and AI applications in production. Core technologies include data pipelines and event streaming (Apache Kafka), containerized deployment (Docker, Kubernetes/OpenShift), MLOps/CI-CD, and AI agents built with Python, PyTorch or TensorFlow.
Data Scientist at VPBank in Hanoi building machine learning, deep learning, and GenAI solutions for banking problems such as churn prediction, cross-sell, customer segmentation, CLTV, personalization, and operational automation. Core stack: Python with ML/DL libraries, GenAI frameworks, SQL, and cloud platforms.
Data Scientist at KBTG, the technology arm of Kasikornbank, building analytical, forecasting, optimization, and machine learning models to support banking business decisions. Day to day involves exploring data, running experiments, predictive modeling, and communicating insights to stakeholders across cross-functional teams.
An advanced data scientist at KBTG (Kasikornbank's tech arm) leads ML projects end-to-end — from model development through testing, validation, and deployment — using predictive modeling, optimization, forecasting, and data processing tools to improve customer experience and revenue, while mentoring junior staff and exploring state-of-the-art ML research.
Senior data science role at Kasikornbank focused on building and deploying machine learning and deep learning models on large business datasets, translating insights into stakeholder recommendations, and mentoring junior data scientists. Core technologies include Python, R, SQL, and cloud data platforms.
Data Scientist at Nestlé Purina (pet care) who builds and deploys machine learning, statistical, and optimization models powering business decisions across Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. Core stack: Python, SQL, cloud platforms (Azure/AWS/GCP), MLOps/CI-CD, plus supporting GenAI applications like RAG.
An expert-level data scientist at Nestlé Purina who designs, deploys, and operationalizes machine learning, generative AI, and LLM-based solutions (RAG, agents, copilots) for commercial and consumer-facing use cases. Works with Python/SQL, TensorFlow/scikit-learn, and cloud platforms while mentoring junior data scientists.
Expert AI Data Scientist at Nestlé IT & Digital (Nestlé USA) in Arlington, VA, owning AI solutions end-to-end — from framing ambiguous business problems to deploying, monitoring, and scaling GenAI and agentic applications. Blends product-manager and hands-on engineering work using Python, LLMs, agent workflows, and MLOps on platforms like Databricks and Snowflake.
A senior data scientist at Nestlé IT & Digital builds and deploys production demand-forecasting models for Nestlé USA's supply chain, automating weekly forecasts with ML Ops and embedding GenAI/Agentic AI into forecasting workflows. Core stack includes Python, SQL, Databricks/Snowflake/Azure, and Power BI.
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