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Designs and maintains data pipelines and infrastructure that feed an internal AI platform, using Python, Prefect, Spark, and cloud services to support investment professionals.
The Data Scientist II will design, build, validate, and deploy predictive models for credit risk, churn, and revenue, using Python and ML libraries, while creating reproducible data pipelines and monitoring model performance metrics.
Data & AI Engineer at Allianz Services in Madrid who designs, builds, and productionizes machine learning models and data-driven systems for insurance operations. The role blends classical ML (LightGBM, XGBoost, Scikit-Learn), MLOps, and API integrations with Docker/Kubernetes deployments, CI/CD, and cloud (Azure preferred).
#вакансия #удаленка #Россия Ведущий ML-инженер в крупную компанию. Компания рассматривает кандидатов только из России. З/п: обсуждается индивидуально. Формат работы: Удаленка, Гибрид, Офис(Москва, Краснодар) Уровень…
Pango, a mobility services company, is hiring an experienced Data Scientist in Petah Tikva to own ML problems end-to-end — framing business questions, building and evaluating models, and deploying them to production. Core stack: Python, SQL, gradient boosted trees (XGBoost/LightGBM/CatBoost), and generative AI.
Responsibility Responsible for defining data specifications and clarifying logical rules for various types of data (including risk data, financial data, and business data), as well as conducting in-depth data…
A Data Scientist II designs and deploys AI models for customer engagement, partnering with clients to integrate data pipelines and reinforcement learning systems using Python, SQL, and ML libraries.
About the job An Insurtech start-up is looking for a (Senior) Machine Learning Engineer to join their team. Your new role As a (Senior) Machine Learning Engineer, you will be responsible for: Build automated pipelines…
Lead Machine Learning Engineer Know your way around a model from first dataset to final evaluation? Come lead a team building machine learning that solves real problems for life sciences and scientific instrumentation…
We are looking for an AI/ML Engineer to develop machine-learning solutions for anomaly detection, predictive analytics and time-series forecasting using operational and network data. The role combines ML development…
Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the…
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in…
Job Description Job Summary: We’re looking for a senior data science leader with 10+ years of professional AI/ML experience and strong hands-on expertise in both traditional ML and Generative AI/NLP . Must have: 10yrs…
Job Description Job Summary The key area of responsibility in the role of Lead Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable…
Data Scientist at OGC Global, a boutique market research and data analysis consulting firm, executing end-to-end quantitative research projects for Fortune 500 clients — data analysis, ML modeling (classification, regression, forecasting), and insights-based reporting. Core stack: Python, SQL, statistics, and machine learning, with Excel and Tableau/PowerBI as pluses.
Data analyst in Sberbank's Neuroscience & Human Behavior Lab: runs big-data behavioral research — preparing and cleaning datasets, testing hypotheses, finding and visualizing anomalies — and presents insights to stakeholders. Core stack: Python (pandas, NumPy, SciPy, Matplotlib), SQL/PostgreSQL, Spark/Hadoop, plus LLM/multi-agent systems work.
Senior, client-facing Data Scientist at Lantern, a Microsoft services partner, who designs and productionizes ML, generative AI, and agentic AI solutions for consulting clients using Azure Databricks and the Microsoft data/AI ecosystem (Python, SQL, Spark, MLflow, Azure OpenAI, Power BI), from discovery through MLOps deployment and adoption.
Principal Data Scientist leading Gopuff's consumer personalization: designing and shipping recommendation, ranking, and LLM-powered agentic shopping experiences across search, browse, cart, and marketing. The role blends classic ML (XGBoost, PyTorch, learning-to-rank) with LLM agents, backed by Snowflake and rigorous A/B testing.
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