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Principal AI Engineer who designs, builds, and deploys AI/GenAI solutions (NLP, predictive analytics, LLMs) across Gainwell's healthcare technology platforms, integrating models into cloud and on-prem systems with MLOps practices and HIPAA compliance. Fully remote within the U.S. with 0-10% travel.
A 10-week paid summer internship (starting June 2027) in New York Life's Investment Management division for undergraduate seniors and master's students in AI and data science. Interns build dashboards, support ML projects, and develop AI-powered applications using Python, SQL, Tableau, LLMs/GenAI, and cloud platforms in a hybrid New York City role.
Full-time tenure-track academic position at UCLouvain's Saint-Louis campus in Brussels: teach quantitative methods (mainly mathematics) to economics and management undergraduates and conduct research at the Centre for Applied Economics. Requires a PhD in applied mathematics, statistics or data science, university teaching experience, and C2-level French.
A people-management role at BT Group in Ipswich, UK, leading a data science team focused on the company's networks data and AI initiatives — applying AI and analytics to improve how the UK's largest communications group operates.
Data Scientist (senior track possible) in Nordea's Data, Digital Sales & Engagement team in Oslo: analyzing large datasets, building audiences, statistical/ML/AI models and experiments to target millions of digital customer interactions. Core stack is Python and SQL, working closely with data engineers and marketing stakeholders.
Data Scientist in Nordea's Data, Digital Sales & Engagement team in Oslo, analyzing large datasets and building statistical, machine-learning and AI models to target digital customer communications and campaigns. Core tools are Python and SQL, with statistics and experimentation; Norwegian language skills are required.
KLM's Cargo Digital Commercial Program (Customer Insights & Analytics team) is hiring an experienced data scientist at Schiphol Oost to translate business challenges into insights and build AI proof-of-concepts for personalization, customer profiling, and service automation. Day-to-day: stakeholder collaboration, data preparation, ML development in Python, and supporting industrialization of solut
KLM is hiring a Data Scientist for its Customer Insights and Analytics team within the Cargo Digital Commercial Program, based in Schiphol Oost, Netherlands. Day to day they translate business challenges into insights and AI proof of concepts (personalization, customer profiling, service automation) using Python and machine learning, working end-to-end from stakeholder engagement to presenting res
Lead Sustainability Data Scientist at Novo Nordisk in Bagsværd, Denmark, building sustainability forecasting models, scenarios, and predictive analytics and owning end-to-end data pipelines from source systems to data products. Core stack includes Python/Julia, BI tools (Power Suite/Tableau), Alteryx, and optionally Databricks/Snowflake.
Sr. Manager of Data Science at McCormick (spices/flavor manufacturer) based in Gurgaon, leading a team of 5-10 to build and scale ML-driven forecasting and predictive analytics on Azure/AWS cloud, reporting to the Global ML & Data Science Director.
Data Scientist at Farmers Insurance in Woodland Hills, CA (hybrid: at least 3 days in office) applying analytics, machine learning, and data mining to consumer analytics and business projects. Core stack includes Python, SQL, SAS, Snowflake, Tableau, Power BI, and Git, with MLOps-based model deployment and mentoring of junior team members.
Onsite data scientist (level I or II) at PacifiCorp's Portland office, building production-grade analytics and models over day-ahead/real-time market, load, generation, and transmission data to improve bidding, forecasting, and trading decisions. Core stack: Python/R/SQL, big-data platforms, machine learning, and Azure ML/Databricks tooling.
Open-rank research professorship at Tecnológico de Monterrey's School of Social Sciences and Government (Monterrey or Mexico City campus) applying data science — machine learning, causal inference, NLP, agent-based/simulation modeling — to public-policy research, while publishing, winning grants, and teaching in the Government and Public Transformation program.
Leads AI and data science projects end-to-end: gathering business requirements, managing Agile/Scrum delivery, timelines, risks and stakeholder communication, and translating business needs into technical tasks for data scientists and engineers. Familiarity with cloud platforms like AWS, Azure or GCP is expected.
A 2-year fixed-term Data Scientist role at Northumberland County Council (onsite at County Hall, Morpeth) using advanced analytics — predictive modelling, machine learning, segmentation and geospatial analysis — to improve population health and reduce inequalities. Works in a central data team with Python, SQL, Power BI and Microsoft Fabric on complex linked datasets.
At SAP's Data Labs in Garching bei München (Munich), this senior data science expert builds enterprise ontologies, semantic models, and GenAI capabilities (RAG, knowledge graphs, LLMs) that power SAP's supply-chain AI agents (IBP, Joule, Autonomous SCM). Day-to-day spans knowledge engineering, ML modeling, and production deployment on platforms like Databricks, SAP HANA Cloud, AWS, Azure, and GCP.
Senior data scientist at SAP's Data Labs in Garching bei München (Munich) building the semantic 'context engine' behind SAP's supply-chain AI agents: designing enterprise ontologies/knowledge graphs and GenAI capabilities (RAG, embeddings, vector search) using Python, Databricks, SAP HANA/Datasphere, and major clouds.
Role Summary : The Global Data Science & Advanced Analytics (GDS&AA) vertical at Colgate-Palmolive focuses on solving high-impact business problems with measurable financial outcomes. The team partners closely…
Brief introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo…
Yêu cầu công việc 1. Tham gia và phối hợp triển khai các giải pháp khoa học dữ liệu và trí tuệ nhân tạo cho các đơn vị trong ngân hàng - Đề xuất và tham gia triển khai các giải pháp khoa học dữ liệu cùng chuyên gia và…
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