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Senior Data Scientist bridging ML research and production, owning end-to-end pipelines, observability, and platform reliability for LLM/agent systems at an AI-first software company.
Lead data science initiatives for an AI-driven medical imaging company, designing data curation strategies and evaluating ML models to improve cardiac diagnostic algorithms.
The Senior Data Scientist will develop trading analytical models and machine learning solutions to provide business insights. The role involves building prototypes, managing data quality, and mentoring junior team members.
The Lead Data Science Consultant will lead complex R&D and AI projects for enterprise clients, bridging the gap between technical teams and business stakeholders. The role involves architectural decision-making, stakeholder management, and mentoring within the Hybrid Intelligence team.
This internship involves developing mathematical models, algorithms, and supply chain analytics to improve P&G's operational performance. Interns will utilize tools like Python, SQL, R, and data visualization software to translate complex data into actionable insights.
Leads data-driven initiatives to solve marketing and product challenges by building predictive models, performance frameworks, and clear narratives for stakeholders, working independently with Python/R and cloud platforms.
Lead a team of data scientists to build AI/ML models and analytics that drive strategic decisions for Mastercard’s global payment products using Python, SQL, and Tableau.
The Senior Data Scientist will join the Trading Insights team to develop predictive and machine-learning models that optimize commodity trading decisions and risk management. The role involves end-to-end delivery of analytical solutions, stakeholder engagement, and mentoring junior team members using Python, SQL, and Azure cloud technologies.
Performs data analysis, reporting, and BI dashboard development to support sales regions, primarily using SQL, Excel, and potentially Tableau/PowerBI, with a night shift schedule in Manila.
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
The Data Scientist will join the FCU Technology team to develop AI-driven solutions for anti-financial crime, utilizing Python, machine learning, and generative AI technologies. The role involves the full data science lifecycle, from research and prototyping to building production-ready data pipelines and AI agents.
Supports U.S. Navy Pacific Fleet by analyzing shipboard systems data to optimize maintenance, performance, and reliability; applies statistical modeling, machine learning, and data visualization to derive actionable insights for fleet technical support.
Develops advanced pricing models and predictive analytics for a SaaS platform serving hospitality businesses, optimizing revenue and decision-making through data-driven insights.
Develops pricing optimisation algorithms and predictive models for a SaaS platform serving hospitality/e-commerce; bridges data science, ML, and business strategy to drive customer decision-making and revenue growth.
Senior Data Scientist at Novartis in Barcelona building AI/ML models to extract insights from life-science data and automate analyses that support patient outcomes and business decisions.
Build and apply ML/DL models (including LLMs and computer vision) to analyze semiconductor and electronics manufacturing processes, using Python and CFD/multiphysics tools.
Build and deploy AI solutions using NLP, LLMs, and knowledge graphs for financial workplace investing products, focusing on document processing, assistants, and anomaly detection.
Senior data science advisor guiding a fund/corporate services client’s data transformation, designing scalable data marts, enforcing modelling rigor, and upskilling FP&A/data engineering teams to future-proof analytics and AI use.
Senior Data Scientist (FP&A) advises on data strategy, schema design, and modelling for a financial services firm’s data transformation, ensuring scalability and future-proofing while mentoring internal teams.
Develops AI-driven predictive models for credit risk and customer behavior using advanced ML techniques, explainability tools, and large-scale data analysis to inform underwriting decisions in a regulated fintech environment.
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