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Mid-to-senior Data Scientist covering the full ML/AI lifecycle—traditional ML, LLMs, RAG, and agentic AI workflows—deployed on AWS with MLOps practices, for a US insurance-focused company's Belfast hub.
Build predictive models, time-series forecasts, and generative-AI tools to automate sales insights and optimize revenue for AMD’s Sales Operations team using Python, SQL, and ML frameworks.
The Data Scientist will analyze large geospatial datasets to support store development and mapping initiatives using Python, SQL, and ArcGIS. The role involves building machine learning models, creating data visualizations, and collaborating with cross-functional teams to provide actionable business insights.
Anti-fraud analyst investigating fraud cases, modeling scenarios, and improving monitoring algorithms using Python and SQL at Sberbank's Moscow office.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Analyzes Disney+ content performance and audience engagement in LATAM using advanced analytics, SQL, Python, and visualization tools to drive data-driven decisions for streaming strategies.
An intern extracts and analyzes construction-related data to support decision-making, builds reports/dashboards in Power BI, cleans data, and assists with data science initiatives (e.g., Python automation, ML workflows).
Build AI and statistical models to detect fraud in Medicare/Medicaid claims using Python/R, cloud tools, and generative-AI components.
Senior Data Scientist applying ML and generative AI to detect and prevent fraud, waste, and abuse in Medicare/Medicaid claims, using Python, SQL, Databricks/Snowflake/Spark, and GenAI tools like LangChain and vector databases.
The Data Scientist will analyze large construction datasets using Python, R, and machine learning to provide actionable business insights. They will build predictive models, create dashboards in Power BI, and collaborate with project teams to support data-driven decision-making.
Lead a team of data scientists building AI-driven predictive models and statistical analyses to guide Klaviyo’s sales and customer lifecycle strategies in a fast-moving SaaS environment.
Lead Data Scientist designing, deploying, and monitoring ML/AI solutions (including NLP and GenAI) across Risk, Fraud, Marketing, and Portfolio Management in the payments and financial services space, using Python, SQL, and big data frameworks.
Data Scientist at FIS building and deploying predictive models and AI solutions across Risk, Fraud, Marketing, and Portfolio Management in financial services, using Python, SQL, and machine learning libraries.
Treasury analyst managing interest rate risk models, risk-metric forecasting, and BI reporting—acting as a product owner while collaborating with IT on analytical process automation using SQL, Python, and ML libraries.
Обязанности: Разработка ПО на Python (базовые конструкции, функции, модули, Git). Применение ООП (классы, наследование, полиморфизм). Анализ и визуализация данных (NumPy, Pandas, Matplotlib, Seaborn). Реализация…
This entry-level data science role involves analyzing spacecraft manufacturing and telemetry data to identify anomalies and predict component failures. The position requires proficiency in Python and SQL to build dashboards and predictive models to support mission operations.
Senior Data Analyst who designs data models, builds analytical pipelines, and translates complex findings into actionable business decisions for a digital estate planning platform.
The Data Scientist will collect and analyze complex datasets to build predictive models and machine learning algorithms. The role requires strong proficiency in Python, SQL, and at least two years of commercial experience with Snowflake.
The Principal Hardware & Software Test Engineer will lead product quality initiatives, develop test specifications, and build automated dashboards to track hardware and software performance. The role requires expertise in Python, SQL, and data visualization to analyze product data and drive quality improvements across the development lifecycle.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
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