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Data Engineer – Cost Index Optimization Engineering | Odense, Denmark | Full-Time Jeppesen ForeFlight builds software that airlines and pilots around the world rely on every day. From our Odense office, you'll join…
Build and operate Upstart's ML and simulation platform infrastructure—model training, feature engineering, inference, and marketplace simulation—using Python, Kotlin, AWS, Spark/Databricks, and MLOps tooling.
This is an apprenticeship role for a Data Scientist/AI Engineer to develop machine learning models and predictive solutions within a financial risk department. The position involves the full data science lifecycle, from data exploration and feature engineering to model deployment and monitoring.
Designs and maintains data infrastructure and pipelines to support AI-driven products, curates high-quality datasets, and collaborates with AI engineers and external data providers.
Machine Learning Engineer at Cinder building classification pipelines, confidence cascading, and model training/serving infrastructure for a trust & safety platform, using Python, PyTorch, scikit-learn, XGBoost, and LLMs.
Мы – Data Science-команда, которая занимается моделированием поведения кредитных портфелей ФЛ. Работаем сразу с несколькими кредитными продуктами: потребительскими кредитами, ипотекой, автокредитами и POS. Наша…
The ML Engineer/Data Scientist develops and maintains customer-centric data models and ML features to support CRM and analytics applications. The role involves working with Python, SQL, Databricks, and MLOps tools to build scalable data products within a cloud environment.
Стажер Data Science разрабатывает ML-модели для прогнозирования досрочных погашений кредитных портфелей (потребительские кредиты, ипотека, автокредиты, POS) в Сбербанке. Использует Python, SQL, Spark и классические ML/DL подходы для анализа банковских данных и объяснения результатов бизнесу.
The Senior Data Scientist will build machine learning models and perform causal analysis to understand customer value, behavior, and segmentation for client engagements. The role requires strong Python and SQL skills to translate complex data into actionable business recommendations.
Build end-to-end production-grade data products using Databricks, Spark, Python, SQL, and Kafka, spanning data pipelines, REST APIs, and lightweight applications for a partner company based in India.
Builds and deploys end-to-end ML/GenAI solutions for financial services clients, including data pipelines, model training, GenAI workflows, and production monitoring in regulated environments.
Specialist Data Engineer building scalable pipelines and MLOps frameworks on Databricks and GCP, using PySpark, Airflow, and MLflow.
Builds and deploys AI/ML models for Telstra’s operational systems, translating data into actionable business insights. Focuses on feature engineering, model development, GenAI integration, and end-to-end solution design with cross-functional teams.
Design and deploy AI/ML solutions—including GenAI, RAG architectures, and agentic AI—for a European financial group, using Python, LLMs, vector databases, and cloud platforms.
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Builds and deploys predictive/prescriptive ML models for procurement, manufacturing, and sales at a global snacks producer, integrating AI into agentic workflows and bridging technical rigor with business decision-making.
Platform Engineer building and maintaining ASOS's data science and AI platform—standardising data pipelines, ML workflows, and AgentOps capabilities using Python, Spark, Azure Databricks, and Terraform in London.
Data Scientist at Deutsche Welle developing analysis projects, ML/AI models, and MLOps pipelines to support data-driven journalism and audience insights using Python and common ML frameworks.
Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
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