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Description We are looking for a Lead AI Engineer with 6+ years of experience to lead the technical development and delivery of AI solutions. You will provide hands-on technical guidance to a team of AI engineers and…
About the role As an Associate Data Scientist III, GenAI Solutions at IHG, you will develop and deliver AI and machine learning solutions that support business decisions and create measurable value. You will work…
O stanowisku: Forma zatrudnienia: umowa o pracę Lokalizacja: ul. Sokolska 34, Katowice (2 dni w tygodniu pracujemy z biura) O nas Dołącz do zespołu, który tworzy i rozwija rozwiązania oparte o sztuczną inteligencję…
Manager, Data Science - US Card - Marketing Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical…
American Express Global Commercial Services (GCS) is the leading payment card issuer for corporations and small businesses with products and services to help them run and grow their business. The Analytics, Investments…
Job Description Job Role AI Data Scientist Grade Senior Manager Reporting to AI Project Portfolio Lead Location Dubai, United Arab Emirates Job Purpose About Network International: Network International is the largest…
Data Scientist in Hyderabad building time-series forecasting models for demand, sales and supply-chain data — cleaning historical data, experimenting with statistical/ML algorithms, and deploying models to production. Core stack: Python/R, SQL, Prophet, ARIMA, XGBoost, LightGBM, MLflow. 2–5 years experience, ₹12–15 LPA, 6-day work week.
Data Scientist at consulting firm Thoucentric in Bangalore, building machine learning and deep learning models for client business problems with a strong focus on time series forecasting. Core stack: Python with NumPy, Pandas, scikit-learn, TensorFlow/PyTorch; 3-8 years of experience required.
Senior AI/ML engineer in New Delhi building production machine learning for a health-tech system: classical ML models (XGBoost, ensembles, time-series) over radar signal and point-cloud data for fall detection and health risk scoring, with Databricks pipelines, model evaluation, and production deployment/monitoring.
Location: Ciudad de México,Ciudad de México,México Buscamos un/a Científico/a de Datos con sólidos conocimientos en Python, estadística y Machine Learning, capaz de desarrollar modelos robustos, evaluar su impacto en…
Data Scientist embedded in the finance department (FP&A) of a company in Petersbach, France, building predictive time-series models (Prophet, XGBoost) to automate rolling forecasts and budget variance analysis, developing scenario simulation engines and anomaly detection, and delivering BO/Qlik dashboards for finance stakeholders.
Build agentic AI platforms, RAG systems, recommendation engines and predictive ML models for global financial-markets clients at IT services firm RiDiK (CLPS subsidiary). Daily work spans Python LLM applications, agent orchestration, data science, and production deployment via Docker/Kubernetes/OpenShift at Changi Business Park (12-month extendable assignment).
Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
Data scientist in Alexion's (AstraZeneca rare-disease division) commercial analytics team in Bangalore, building and deploying statistical, machine-learning, and AI models (Python, SQL, XGBoost/LightGBM, Snowflake Cortex) on de-identified healthcare data for forecasting, patient targeting, and marketing ROI. Onsite role with a 2–11 pm IST shift and minimum 3 days/week in the office.
Senior Data AI Engineer at Funditec Intelligence's Deep Data Analytics area in Madrid, leading the design, development and deployment of AI solutions for R&D projects in cybersecurity, digital transformation, process automation and predictive analytics. Core stack: Python and R with TensorFlow/PyTorch/Keras/scikit-learn, plus ML/MLOps architecture and mentoring.
Builds and deploys ML models for soft debt collection at Halyk Bank — propensity-to-pay, recovery forecasting, client segmentation, and next-best-action — using Python, SQL, and gradient boosting (CatBoost, LightGBM, XGBoost), with A/B testing and collaboration with MLOps to move models into production.
A Middle Data Scientist at Kazakhstan's Social Medical Insurance Fund (via recruiter Top-Human) builds, validates, and monitors classical ML models — classification, regression, forecasting, risk scoring, and anomaly/fraud detection — on structured government healthcare data. Core stack: Python, SQL, Pandas/NumPy/Scikit-learn, XGBoost/LightGBM/CatBoost.
Data Scientist at Grupo Petersen (an Argentine financial group) designs, develops and deploys generative-AI solutions (RAG architectures, AI agents, LLM fine-tuning) alongside classic ML models, turning large data volumes into business insights. Hybrid full-time role in Buenos Aires, heavy on Python, SQL and MLOps/LLMOps practices.
Summer 2027 ML engineer intern at Kensho, S&P Global's AI innovation hub (onsite in New York City or Cambridge, MA). The intern leads a project prototyping, building, and testing ML models and pipelines for a GenAI platform and LLM-powered applications, working with Python, PyTorch, LangGraph, and MLOps tooling under senior mentorship.
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