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Leads a Risk Data Science team at a bank, building credit-risk models (PD, LGD, scoring), fraud detection, and early-warning systems using Python, ML, and SQL.
Builds and deploys predictive models and analytics to support financial data products and services at a global market-intelligence provider.
A hands-on Data Scientist at DataVisor designs and optimizes machine learning models for an AI-powered fraud and anti-money laundering (AML) platform, working on pre-built detection strategies, cold start logic, and collaborating with cross-functional teams to build scalable defenses.
Senior Data Analysts optimize financial and customer data systems for American Express, analyzing trends to improve business strategies, dashboards, and reporting tools using SQL, Python, Power BI, and BigQuery.
Build and modernize full-stack applications using Python, AWS services, and ETL pipelines while leading a small team in an agile environment.
Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Skill required: Marketing Operations - Campaign Management Designation: Marketing Platform Auto Associate Qualifications: Any Graduation Years of Experience: 1 to 3 Years About Accenture Accenture is a global…
Senior Data Analyst builds predictive models, dashboards, and reports in Python/R and SQL to turn raw data into actionable insights for non-technical leaders.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Build and migrate scalable data pipelines in Microsoft Fabric and Azure, refactoring pandas logic to PySpark and optimizing Synapse workloads for analytics and reporting.
Build and maintain data pipelines for a banking client, integrating sources like APIs and cloud storage using Python and SQL to support analytics and reporting.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Build and adapt cloud-based data pipelines and analytics assets for a new external platform using Python, SQL, and Google BigQuery.
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
Build and maintain cloud infrastructure on AWS, GCP, and Alibaba Cloud using boto3, Ansible, and OpenShift to optimize cost, governance, and automation for product teams.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Forward-deployed engineer at an AI startup building agentic tools for fund operations, demoing and configuring solutions for asset managers and fund administrators.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
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