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Build and deploy ML models that rank lodging search results for Expedia’s travel brands using Python, ML frameworks, and A/B testing to improve user experience at scale.
Build and maintain scalable data pipelines using Databricks, Kafka, and Delta Lake to power digital twin platforms, real-time systems, and AI workloads.
System Data Scientist Location: Stockholm,Stockholm,Sweden Department: 76 Product Development Work Location: hybrid Join our Team About this opportunity: The RAN System Management & Architecture sector leads and…
Builds and deploys AI/ML models and data pipelines to extract insights from complex datasets (structured/unstructured) for clients in sectors like fraud detection, intelligence, and healthcare, collaborating with cross-functional teams to deliver actionable solutions.
Build and scale the backend platform that powers AI-driven travel experiences, integrating LLMs, vector search, and agentic systems for millions of users.
Build and optimize high-load Scala/Spark pipelines for NPL analytics, engineer clean features for ML teams, and integrate generative AI into data workflows.
Build and maintain Python-based forecasting models and pipelines for the power market, ensuring daily model accuracy and reliability in a SaaS environment.
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Lead a team to design, build, and deploy production-grade ML models and AI solutions in cloud environments, translating business needs into scalable data products.
Build and deploy ML models for customer growth, retention, and personalization at a cybersecurity and digital-safety company using Python, SQL, and cloud platforms.
Build and maintain data pipelines, analyze large financial datasets, and develop ML models to power real-time risk-management SaaS for banks and financial institutions.
Designs and leads the AI-driven architecture for a security operations platform, integrating threat intelligence, agentic AI, and governed decisioning to modernize enterprise security workflows.
Data Scientist role at S&P Global in Gurugram, India, analyzing financial and business data to derive insights.
Designs and maintains scalable data models and dashboards in Snowflake and Tableau to power analytics for a global entertainment platform.
Leads machine learning initiatives for an online gaming platform, designing and deploying scalable models to enhance security, user experience, and data-driven decisions for hundreds of thousands of users.
Build and deploy scalable, secure ML models and data pipelines for a UK-based client, working hybrid in Newbury.
Builds and optimizes classical ML/deep learning models for retail use cases, designs end-to-end ML pipelines, and ensures production-grade model robustness using Python, cloud platforms (AWS/GCP/Databricks), and CI/CD workflows.
Build and deploy production-grade ML pipelines for retail-focused AI solutions using Python, cloud ML platforms, and CI/CD.
Lead a data science team at S&P Global to build predictive models and analytics solutions for financial data and market insights.
Builds and maintains a master data warehouse, designs ETL pipelines, and creates BI dashboards to consolidate ERP, CRM, and other enterprise systems for a growing Russian auto-mobility company.
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