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Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Build and deploy machine learning models and services, focusing on MLOps practices, API development, and cloud infrastructure using Python, AWS, and tools like MLflow and Databricks.
We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans…
Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.
Designs, develops, and optimizes enterprise-grade fintech software solutions using Java/.Net, Python, and cloud platforms, focusing on scalable APIs, microservices, and data engineering to support Barclays' digital infrastructure and business operations.
Develops and scales ML-driven analytics solutions for MiQ’s programmatic media platform, collaborating with engineering, sales, and product teams to solve client challenges and drive business impact through data-driven insights.
Build and maintain scalable AWS data pipelines and analytics platforms using SQL, Python, and Spark to enable business insights and reporting.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
Designs and maintains Azure infrastructure and data platforms for analytics, AI/ML, and production workloads, focusing on cloud-native security, networking, and scalable data pipelines.
Designs and maintains Azure infrastructure and data platforms for analytics, AI, and mission-critical workloads, focusing on cloud-native security, scalability, and performance.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Leads the build and maintenance of a modern data platform using Azure services, PySpark, and SQL to enable analytics and reporting for a large fintech company.
Develops fraud detection models and analytics to identify transactional anomalies, analyze fraud patterns, and deploy mitigation strategies for a fintech company’s debit/banking payments. Uses Python/R, Spark, SQL, and cloud platforms to build predictive models and dashboards for risk management.
Designs and oversees scalable data pipelines, pipelines, and integrations for enterprise planning, leveraging SQL, Python, PySpark, and cloud/data tools to optimize data flows and ensure high-performance data processing.
Builds and maintains data pipelines, warehouses, and lakes to enable analytics and business decision-making, specializing in Azure cloud tools like Databricks and Data Factory.
This role is a senior engineering position within Deutsche Bank's eDiscovery and Archiving Technology group, responsible for designing and operating secure, scalable GCP data platforms. The engineer will build data pipelines, manage infrastructure as code, and ensure compliance with regulatory standards using technologies like BigQuery, GKE, and Terraform.
Guidehouse is seeking a Data Engineer to build and maintain data pipelines, AI solutions, and analytics platforms. The role involves working with modern data engineering tools, cloud technologies, and AI frameworks like RAG and agentic AI to support federal programs.
The Senior Software Engineer will design and support enterprise data integrations and ETL workflows using Azure cloud technologies. The role involves collaborating with cross-functional teams to build scalable, high-performance data solutions for QVC's retail brands.
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