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We are seeking a senior data scientist to lead delivery of advanced analytics and machine learning solutions for a large scale transformation program within insurance practice. This role is critical to bridging…
Powered by Passion. United by Purpose. Build for Impact. At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities –…
Senior Machine Learning Engineer, Behavioral Biometrics Remote - United States About the Role Cursive verifies authorship continuously, from first draft to submission. Instead of scanning a finished document and…
The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide. The role will be primarily responsible for the review of credit risk, fraud…
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles County, CA, building and operating production ML systems for demand forecasting, dynamic pricing, inventory optimization, and recommendations using Python, SQL, Spark, Databricks, MLflow, and Azure with strong MLOps practices.
agap2 Italia is recruiting, on behalf of a data-driven technology client, a Senior Data Scientist / ML Engineer to work fully remote from Italy. Day to day they design, build and productionize predictive models for forecasting, demand planning, supply-chain optimization, anomaly detection and advanced analytics, using Python, ML frameworks (scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch), SQ
Contract ML/MLOps engineer (3-month project) building production-grade ML infrastructure for a German customer: Kubeflow pipelines, GPU model training in Kubernetes, LLM/transformer fine-tuning, MLflow, XGBoost/CatBoost, SQL Server/DuckDB, and Python pipelines with GitLab CI in a zero-trust environment. German B2+ is a must-have.
Develops and deploys machine learning models to detect and prevent fraud across Plaid's financial network. The role involves the full ML lifecycle, from feature engineering and experimentation to production deployment using Python, SQL, and frameworks like PyTorch and XGBoost.
Data engineering manager at United Overseas Bank (UOB) in Singapore who delivers IT solutions to the bank by building batch and real-time data pipelines on the Hadoop ecosystem (Spark, Kafka, Iceberg, Flink, Trino), developing internal tools with Python/Flask/React, and operationalizing ML models with data scientists on Cloudera ML.
Senior Data Scientist at Hims & Hers builds machine learning models and data products end-to-end — from exploratory SQL and feature engineering through deployment, A/B testing, and monitoring — partnering with Product, Engineering, and Finance. Core stack is Python, SQL, and cloud-based ML tooling.
Staff Data Scientist at Hims & Hers, a healthcare/telehealth platform, acting as a technical leader who turns ambiguous business questions (growth, supply chain, marketing attribution, churn) into production-ready ML systems. Core work involves 0-to-1 ML infrastructure, end-to-end model deployment, and mentoring, using Python, SQL, the Python data stack, ML frameworks, and cloud platforms like AWS
Sr. Manager of Analytics Reporting to: SVP, Strategic Analytics Department: Strategic Analytics Location: Boston, MA (Hybrid) Position Summary Grand Circle Corporation is the leader in international travel, adventure…
Build and improve censored bid-landscape models to estimate clearing-price distributions from partially observed auction data Develop real-time win probability estimation models responsive to bid pricing dynamics…
Hands-on ML lead at FCI building AI models for a banking customer-engagement product (starting with credit cards) on its VARTA communications platform. Day to day: build and validate models for transaction classification, behavioural segmentation, recommendation and propensity, own evaluation/experimentation, write production Python pipelines, and co-develop with a banking data-science partner for
Senior Data Engineer, hired via recruiter D L Resources for a banking-sector client in Singapore, who designs, builds, and operates enterprise data lakehouse platforms and pipelines using Spark/PySpark, Databricks, open table formats, streaming, and DevSecOps, while also enabling RAG/GenAI and multimodal data capabilities.
We are looking for an experienced Senior Data Engineer with 8–12 years of experience in Data Engineering, Big Data, Data Lake, and Lakehouse platforms. The ideal candidate will have strong hands‑on expertise in…
8-12 years of experience in Data Engineering, Big Data, Data Lake, or Lakehouse implementations. Hands-on experience with Databricks, Snowflake, Cloudera, Azure, AWS, GCP, Huawei, or Alibaba data platforms. Hands-on…
NEXTON is hiring a permanent Data Scientist / AI Engineer in Paris to design, build and industrialize advanced AI solutions — RAG architectures, multi-agent LLM workflows and predictive models — for a major banking client, using Python, Azure OpenAI, FastAPI, Docker/Kubernetes and MLOps/LLMOps practices.
Dear Applicant, If you or someone you know is interested, please send the CV directly to quynh.nguyen@evolutionjobs.sg (most preferred, as I may overlook some CVs due to the high volume). Please note that visa…
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