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Senior Data Scientist building ML and GLM-based pricing models for P&C insurance products, deployed via Databricks/Spark workflows. Core tech: Python, Databricks, PySpark, SQL, GLM, XGBoost/LightGBM.
Data Scientist at Bluetab (IBM Company) in San Isidro, Peru, designing and deploying predictive and propensity models for the financial sector using Python/R/PySpark, SQL, Amazon SageMaker, and XGBoost with SHAP-based explainability.
Lead the development and scaling of Overstory’s Wildfire Fuel Detection Model using AI, geospatial data, and deep learning to predict vegetation risks and reduce wildfire threats for electric utilities.
Dit ga je doen Dit ben jij Vacatures Senior Data ScientistSenior Data Scientist met impact: bouwzelf aan slimme data-oplossingen én geefrichting aan de verdere professionaliseringvan data en AI binnen Mogelijk. FinTech…
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
Job Description: MLOPS Senior Lead Engineer Bachelor’s or master’s degree with 8+ years of experience in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in working with Python,…
Senior ML Engineer on the Advanced Analytics team at John Hancock/Manulife, responsible for packaging models, building MLOps/LLMOps infrastructure, and deploying ML and Generative AI solutions for the insurance division using Python, cloud platforms, and containerization.
Leads advanced ML/AI initiatives for a fintech company, designing scalable predictive models and driving cross-functional adoption of data-driven solutions.
Senior ML engineer in Operations Research builds optimization and AI models to improve Instacart’s order batching, shopper routing, and real-time assignment systems, using Python, ML frameworks, and combinatorial optimization.
POSISI LEAD AI SENIOR MACHINE LEARNING TUJUAN JABATAN Memimpin pengembangan, implementasi, pengelolaan, dan optimalisasi Artificial Intelligence (AI) dan Machine Learning (ML) untuk meningkatkan kinerja bisnis,…
We seek a highly skilled and experienced Senior Data Scientist to join our team. In this role, you will lead advanced data science solutions' design, implementation, and optimisation. You will conduct complex…
Carrières Data Scientist - Forecast Spanje Data Science 5 - 10 jaar Madrid Op afstand We zijn op zoek naar een Data Scientist gespecialiseerd in Forecasting! Als je ervaring hebt met voorspellingsmodellen, geavanceerde…
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Builds and maintains a real-time customer data platform (CDP) called Atlas, focusing on event streaming, identity resolution, and Snowflake/dbt pipelines to unify customer data for media/entertainment insights.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Deploy Fundamental's NEXUS Large Tabular Model into production for Houston-based Oil & Gas enterprise customers, performing end-to-end ML work including benchmarking against XGBoost/LightGBM, data engineering, feature engineering, and last-mile integration (VPC, on-prem, air-gapped).
AI/ML Engineer designing, deploying, and sustaining production ML models, NLP/genAI solutions, and real-time decision-support systems for a SOCOM mission partner using Python, ML frameworks, and MLOps/DevSecOps practices in secure environments.
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