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Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Lead a team building AI-ready data platforms for ecommerce and media, designing scalable pipelines and semantic layers to power analytics, ML, and generative AI across Universal Music Group.
Build predictive models, dashboards, and analytics pipelines using Python/R, Databricks/Dataiku, and Power BI/Tableau/BigQuery/Snowflake to turn business data into actionable insights.
Build and deploy scalable data-science infrastructure on GCP, owning ETL pipelines, models, and CI/CD while mentoring teams to drive business insights and innovation.
Design and build scalable data pipelines and models in Snowflake/Databricks using dbt, SQL, and Data Vault/Anchor Modeling to deliver clean, reusable data for BI and analytics.
Build and deploy ML models into production pipelines for a healthcare services division, refactoring data-scientist models into scalable batch jobs and monitoring performance in AWS.
Build and maintain ML/AI models for healthcare pricing and underwriting using Python, SQL, and TensorFlow to analyze claims, EHR, and prescription data.
Build and refine AI-powered fraud detection models for a financial-sector client, analyzing transactional data to uncover emerging threats and reduce financial crime.
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Build and deploy AI/ML models end-to-end using Python and frameworks like PyTorch or TensorFlow, integrating them into production systems.
Salary: £29,000 - 56,000 per year Requirements: 5+ years in data engineering across cloud-native environments. Expert knowledge of Databricks, Delta Lake, Unity Catalog, ADF, Synapse, Event Hub, and wider Azure Data…
Build and maintain the MLOps platform for Bosch’s AI products, using Terraform, Kubernetes, and Azure to automate the ML lifecycle from data ingestion to model monitoring.
Build and deploy marketing ML models using Python, PySpark, and AWS services; engineer scalable data pipelines and automate analyses for ad-tech and customer analytics.
Build and test predictive models for healthcare data, clean datasets, and present insights to non-technical teams using Python/R and ML libraries.
Build and optimize real-time risk and fraud systems for Wise’s North American market using Java/Kotlin and Spring, ensuring sub-second latency while processing billions in transactions.
Senior Data Scientist builds ML models (XGBoost, time-series, recommendations) end-to-end, engineers features from terabyte-scale data, and deploys solutions in production for a top-3 Russian digital bank.
Builds ML models and ETL pipelines to detect financial crime in transaction data, applies GenAI for analysis, and visualizes findings for client recommendations.
Builds data pipelines and ML models to detect financial crime in transaction flows, applies GenAI for feature engineering, and visualizes insights for client recommendations.
Overview As a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the…
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