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Job Title: Manager - Business Analytics Title: Manager - Data Science Company: PayU (India) Location: Bangalore/ Gurgaon/ Mumbai Who We Are: PayU is the fintech division of Naspers, a global internet and entertainment…
Title:Manager - Data Science ( Credit Risk Domain Must) Company: PayU (India) Location: Bangalore/ Gurgaon/ Mumbai Who We Are: PayU is the fintech division of Naspers, a global internet and entertainment group and one…
Senior Data Scientist on Circle's Fraud Analytics team, owning the prediction side of fraud: building, evaluating, and monitoring fraud models (account takeover, scams, mules, synthetic identity) and moving Circle from vendor risk scores to in-house production models. Core stack is Python, SQL, XGBoost/LightGBM, and strong statistics.
Senior ML engineer builds and deploys real-time fraud detection models using Python, PyTorch, and Spark to protect Affirm’s buy-now-pay-later transactions.
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
Machine Learning Engineer II at Affirm (remote within Canada) builds production credit-risk models that predict likelihood of loan default and drive approval/decline decisions. Day to day: developing ML models (GLMs, gradient boosting, deep learning), scaling data pipelines, and partnering with platform, credit, and product teams using Python, SQL, Spark, and related ML tooling.
A mid-level data scientist in Kraków (hybrid: 2 days office, 3 remote) who builds and optimizes ML pipelines and does feature engineering, collaborating with data teams. Core stack: Python (PySpark, pandas), SQL, and models like XGBoost, LightGBM, MLPs, and autoencoders.
Senior ML Engineer on Nu Colombia's team, building forecasting and marketing-investment models end to end — framing business problems, engineering features, training and validating models, and deploying/monitoring them in production. Core stack: Python, SQL, ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost), with deployments to AWS and Kubernetes.
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
Lead the technical vision for Smartsheet’s AI agents and ML models, defining architecture, standards, and roadmaps to drive growth and retention using petabyte-scale customer data.
Senior Data Scientist builds and deploys AI sub-agents and ML models to drive customer lifecycle outcomes using petabyte-scale data and modern ML toolkits.
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
Machine Learning Engineer at Accenture Federal Services building, training, deploying, and monitoring production ML models and MLOps pipelines for US federal defense, national security, and civilian missions. Day-to-day work uses Python, ML frameworks (PyTorch, TensorFlow, etc.), Docker/Kubernetes, and cloud ML platforms like SageMaker, Vertex AI, or Azure ML.
Build end-to-end AI tools for internal teams: from data pipelines and LLM logic to backend, UI, and deployment, using modern AI stacks and coding assistants.
Builds generative AI / computer vision models inside an AI incubator for retailer Lemana PRO, creating end-to-end PoC pipelines that generate interior, design and construction visualizations from the store's product assortment. Core stack: Python, PyTorch, LLM/RAG tooling (LangChain, Hugging Face), MLOps (Airflow, MLflow, Kubernetes) and GPU inference optimization.
Senior Data Scientist at DAZN's Hyderabad office, owning end-to-end ML/AI solutions from problem framing through production deployment, monitoring and model lifecycle. Works on GenAI/LLM, NLP, recommendation or forecasting use cases using Python, SQL, cloud and MLOps tooling.
Senior ML Engineer on Adyen's Anti-Money Laundering team in Amsterdam, building and running production ML pipelines to detect financial crime at massive transaction scale and migrating a rules-heavy detection stack to a model-first engine. Core stack: Python, PySpark, Trino SQL, TensorFlow/PyTorch, XGBoost/LightGBM, MLflow, Airflow, and Kubernetes-based ML infra.
Senior Machine Learning Engineer at Adyen in Amsterdam, designing, productionizing, and maintaining production ML services behind payments data products — transaction optimization, identity/fraud decisioning, dispute intelligence, and AML detection. Core stack: Python, Spark/SQL, TensorFlow/PyTorch, and MLOps tooling like Airflow, MLflow, and Kubernetes.
Senior Machine Learning Scientist at Adyen in Amsterdam designs, trains, and deploys ML models for payments, risk, and optimization systems using big data and MLOps tooling.
A 2027-graduate Credit Risk Data Scientist at Monee (Sea Limited) in Singapore who builds, validates, deploys, and monitors credit risk models — statistical, ML, and LLM-based — that drive consumer and SME lending decisions, with heavy feature engineering on large-scale datasets. Core stack: Python, SQL, PySpark, XGBoost/LightGBM.
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