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Frontline Robotics -українська defence tech компанія, що займається розробкою та виробництвом роботизованих систем для Сил безпеки та оборони України. Наша місія — створити інтегровану роботизовану екосистему для…
Build and productionize predictive models to forecast shrink and damages for a large retail chain, using Python, SQL, and PySpark to automate analytics workflows and deliver insights to business stakeholders.
Центр компетенций по внедрению ИИ-агентов занимается разработкой ИИ-агентов с использованием передовых языковых моделей (LLM) для оптимизации различных процессов Сбера. Наша цель — повышение эффективности процессов…
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
The Data Scientist will develop and integrate machine learning models and AI agents into core insurance and healthcare processes at Allianz. The role involves end-to-end data pipeline management, from engineering to deployment, using Python and modern AI architectures.
The Data Scientist will develop and deploy AI agents and LLM-based solutions to automate business processes within Sberbank. The role involves fine-tuning LLMs, implementing RAG, and solving complex NLP tasks using Python and modern AI frameworks.
Lead RBC's Cards Account Management team, developing credit strategies using advanced analytics, SQL, Python, and data visualization to optimize the retail credit card portfolio's profitability while managing a team of credit analysts.
Senior full-stack engineer building web apps and cloud systems; writes, tests, and documents code while collaborating with stakeholders to define specs and solutions.
Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Develops fraud detection models and analytics to identify transactional anomalies, analyze fraud patterns, and deploy mitigation strategies for a fintech company’s debit/banking payments. Uses Python/R, Spark, SQL, and cloud platforms to build predictive models and dashboards for risk management.
Build and deploy predictive/prescriptive analytics models to drive healthcare decisions, using Python, SQL, and ML in a production environment.
Design and implement AI models for aquaculture using computer vision and deep learning to analyze aquatic species traits from imaging data.
Analyzes fraud cases, builds detection rules, and advises banks/e-commerce clients on ThreatMetrix DDP using Python/R, SQL, and Excel.
Senior Associate in PwC's Data & Analytics team in Windhoek, focused on IT audit and assurance — designing analytical solutions, building data visualizations, and supporting internal/external audit engagements using SQL, Python, and BI tools.
Analyzes fraud cases, builds detection rules, and advises banks/e-commerce clients on real-time fraud prevention using Python/R, SQL, and statistical modeling.
The Data Scientist will design and deploy fraud detection models and strategies to analyze transactional anomalies and mitigate fraud risks. The role involves using Python, R, SQL, and cloud-based data platforms to develop predictive variables and automate analytics processes.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
About Our Group The Recording Media Operation Media Equipment Engineering team are a team of professional Engineers working on developing various customized media processing equipment used in high volume media…
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Build and deploy ML models for government and defense projects using Python, TensorFlow/PyTorch, and Palantir platforms in a fast-paced startup.
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