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By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us,…
As an Advanced Data Scientist here at Honeywell, you will leverage advanced analytics, artificial intelligence, and machine learning technologies to transform customer engagement, service operations, and sales…
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging…
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to…
Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our…
Lead the detection strategy for ads fraud on a large-scale digital advertising platform, analyzing behavioral networks, building ML/GenAI models, and designing enforcement pipelines using Python, SQL, and statistical analysis.
Principal Data Scientist leading the technical direction and delivery of analytical products supporting Corporate and One Supply functions at Grupo Modelo (AB-InBev), using Python, SQL, machine learning, optimization, and statistical modeling.
Dainvi is hiring a Computer Vision ML Research Engineer in Hong Kong to focus on data-centric AI, labelless detection, and active learning. The role involves building scalable data pipelines and deploying secure AI models optimized for heterogeneous hardware.
Build and maintain data pipelines using Python and SQL to collect, clean, and transform data from various sources, supporting logistics and supply chain R&D with structured datasets for analytics and ML applications.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
The Backend Engineer will design and maintain video-generation production systems, data preparation infrastructure, and model training pipelines. The role requires expertise in Java/Python, distributed systems, and cloud platforms like AWS or Alibaba Cloud.
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
The Senior Product Manager will lead the detection platform roadmap, collaborating with data scientists and engineers to build real-time fraud and identity protection solutions. The role focuses on translating complex risk signals and threat landscapes into actionable product features for enterprise customers.
Data Engineer building and owning an Iceberg/S3 data lakehouse for flight recorder data ingestion, quality validation, and savings reporting to optimize airline fuel efficiency.
Data Engineer at Prima, an online motor insurance provider, building and maintaining data products and pipelines for the pricing and underwriting domain using Kafka, Spark, Python, and AWS.
Build and deploy agentic AI systems and generative applications end-to-end, from EDA to production, using multimodal models, RAG, MCP, and cloud-native MLOps on AWS.
Data Scientist supporting Medicare/Medicaid fraud, waste, and abuse detection using Python/R, machine learning, and generative AI tools on claims data for federal health programs.
Senior Data Scientist applying ML, generative AI, and agentic systems to detect and prevent Medicare/Medicaid fraud, waste, and abuse using Python, Spark, and LLM orchestration tools.
The Lead Data Scientist will design and deploy advanced machine learning and AI solutions to improve pediatric patient outcomes and hospital operations. The role involves analyzing complex healthcare datasets and collaborating with clinical and technical stakeholders to drive data-informed decision-making.
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