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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.
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Builds and ships agentic AI platforms, RAG-based retrieval systems, recommendation engines, and predictive ML models for global financial markets use cases such as market intelligence, client engagement, and workflow automation. Core stack: Python and SQL with generative AI tools (LLM apps, Dify, vector search) plus scikit-learn, XGBoost, and TensorFlow/PyTorch, deployed via Docker, Kubernetes, an
An AI/ML engineer role in Singapore building agentic AI platforms, RAG/retrieval systems, and predictive models (recommendations, propensity, ranking) for global financial markets. Core stack: Python, SQL, scikit-learn/XGBoost, TensorFlow/PyTorch, LLM tooling like Dify, deployed with Docker, Kubernetes, and OpenShift.
Senior Data Scientist in Mexico City building and validating machine-learning models end to end: Python with scikit-learn/XGBoost (and PyTorch/TensorFlow when needed), advanced SQL and PySpark for data at scale, cloud storage, plus A/B testing, causal inference, and MLOps discipline (Git, MLflow, production-ready code).
Data Scientist building classical ML pipelines (XGBoost/LightGBM) with strong feature engineering, advanced SQL, and Python (pandas, PySpark) for one of the world's largest banks. Placed by Verita HR in Kraków, hybrid (6 office days/month), B2B contract.
At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free…
Senior presales/value engineer at Celonis in Munich who architects and prototypes AI solutions (LLMs, agents, RAG) on the Celonis Process Intelligence platform for strategic enterprise customers, runs Proof-of-Value projects, and proves ROI to C-suite executives. Requires Python, SQL, ML/AI frameworks, and native-level German.
Senior presales/value engineering role in Munich: architect, prototype, and deliver LLM/agent-based AI solutions (RAG, tools, guardrails) on the Celonis Process Intelligence platform for strategic global accounts, running Proof-of-Value projects and proving ROI to C-suite executives. Requires native-level German plus strong Python and SQL.
Data Scientist in Bangalore who designs, refines, and deploys machine learning and statistical models end-to-end — from data exploration to production — working with data engineers and business stakeholders. Core stack includes Python/R, ML libraries, cloud platforms, Docker/Kubernetes, and Snowflake/SQL.
Growth Data Scientist at Papaya Gaming, a skill-based real-money mobile gaming company in Tel Aviv. You'll own prediction problems end to end—churn, cohort LTV, CRM triggers, and lobby/store ranking models—building production Python models (LightGBM/XGBoost, PyTorch/TensorFlow) on warehouse SQL (Snowflake/BigQuery) wired into the live product.
Data Scientist for Alibaba International Station (Alibaba.com B2B marketplace) in Hangzhou: builds statistical and ML models, runs A/B tests and causal-inference analyses of user behavior, develops product/KPI metric systems, and turns data-science methods into platform tools and AI Agents. Core stack: SQL, Python/R, XGBoost/LightGBM, plus AI tooling.
Senior Data Scientist at Moss, a Berlin-based fintech, owning end-to-end LLM/ML initiatives (extraction, classification, anomaly detection, recommendations) that power product workflows like invoice understanding and reconciliation. Core stack: Python, LLM apps/agents (RAG, function calling), and classical ML with scikit-learn, XGBoost/LightGBM, PyTorch/TF.
Senior Data Scientist on Zeta Global's Data Cloud Acceleration team, independently owning model, analysis, and scoring deliverables end-to-end for the AI-powered Zeta Marketing Platform. Hands-on work with Python, SQL, ML libraries (scikit-learn, XGBoost, PyTorch), cloud data platforms (Snowflake, Databricks), and GenAI assistants to ship practical, monitored ML workflows that improve client and r
Taux journalier (TJM): 430 à 470 €/j A LIRE ATTENTIVEMENT AVANT DE POSTULER 2 jours de télétravail / semaine - Lyon (03) - Expérience de 5 ans minimum Vous êtes Data Scientist expérimenté.e et souhaitez travailler sur…
Data scientist on Alibaba's business technology team in Hangzhou, AI direction: analyzes promotion/subsidy and pricing mechanisms for e-commerce campaigns, runs causal-inference and A/B experiments, builds metric systems, and develops data Agents (NL2SQL, RAG, automated insights). Core stack: SQL, Python, causal ML, LLM/Agent tooling, MaxCompute/Hologres/DataWorks.
The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Key responsibilities: Integrates…
Flintex is hiring a Data Scientist (Machine Learning) in Singapore to build, train, and deploy predictive models and data pipelines that improve business operations and digital transformation. Core stack: Python (Pandas, NumPy, Scikit-learn), TensorFlow/PyTorch/XGBoost, SQL, cloud platforms (AWS/Azure/GCP), and BI tools like Power BI/Tableau.
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…
Company: Marsh Description: We are seeking a talented Actuarial Manager to join our Actuarial team at Marsh Risk Consulting. This role will be based in Mumbai / Gurugram. This is a hybrid role that has a requirement of…
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