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At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and…
About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through…
As a Senior Data Scientist on the AI team , you will lead the formulation, modeling, and evaluation of complex real-world decision problems using statistics, machine learning, and optimization. You will apply rigorous…
Overview LMI is seeking a Data Scientist/Data Science Lead to provide hands-on analytical leadership across Department of Veterans Affairs (VA) modernization initiatives. The role combines advanced analytics,…
Are you ready to turn complex clinical and real-world data into evidence that shapes pivotal decisions in Oncology? Do you want your analytics to directly influence Phase 3 investments, trial design, and patient…
🧭 About RealAdvisor RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year…
Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us…
BioPharmaceuticals Medical - Evidence, Real World Science & Analytics Do you want to use statistics to shape important evidence decisions, not only analyse data? Are you motivated by working with colleagues from…
About the job About the Role Our client is a well-established internet platform company operating in the logistics and freight-matching space across multiple markets. They are looking for a Data Analyst to join their…
Data Analyst (Risk Control & Large-Truck Business Analyst) Key Responsibilities Risk Control Analytics: Conduct data analysis across platform risk management scenarios, including fake transactions, order…
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Job Description The Role: Conduct original research and develop practical AI/ML methods that accelerate GM’s research, engineering, and product development capabilities. This role is intended for a recent or…
The application window is expected to close on: 11/15/2026 Meet the Team The Cisco CTO Organization is shaping the future of networking and security through AI-native, cloud-delivered, and autonomous operations…
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting…
Career Category Engineering Job Description ABOUT THE ROLE We are seeking a Data Scientist, Forecasting to join the Forecasting team within the AI & Data organization. This role will support the development of…
Join Our Team As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of…
Data Scientist in Morrisons' Data & Analytics team in Bradford, building and productionising ML models (sales/waste forecasting, segmentation, recommendations) on the Google Cloud platform to drive commercial value such as EBITDA improvement and waste reduction. Day-to-day involves Python/R and SQL work, statistics, causal inference, and Looker dashboards.
Job Title: Head of Epidemiology (Remote - US or UK) Job Location: Durham Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job Overview The Executive Director Epidemiologist within Fortrea…
Senior Data Scientist at Capgemini Engineering in Bogotá leading AI/ML initiatives for pricing, demand forecasting, and elasticity — building and productionizing models on Azure ML and Databricks with MLflow monitoring, running A/B tests, and explaining model drivers with SHAP/LIME to business stakeholders.
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