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Forward-deployed data scientist at SAP designing and deploying advanced ML and statistical solutions directly in customer environments, using Python, SQL, and frameworks like TensorFlow/PyTorch on top of SAP data platforms.
Data Science intern at a Singapore deeptech startup building an AI code-generation platform powered by Graph Neural Networks; day-to-day work involves Python development, extending AI engines, and learning Knowledge Graph Data Science.
Designs and deploys AI/ML solutions (including generative AI) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics, with a focus on enterprise-scale MLOps and sales ops integration.
Develops and maintains software for satellite navigation signal collection, processing, and analysis in a research lab, focusing on GPS/GNSS data processing, algorithm development, and system improvements.
Bridge between Data Science and business at Gap Inc., driving AI/ML model adoption across brands by translating model outputs into commercial narratives, managing stakeholder relationships, and building adoption dashboards using SQL, Python, and BI tools.
Build and productionise machine learning models (e.g., customer segmentation, demand forecasting) using Python and SQL to support commercial and customer decisions within a UK retail business.
Contract Data Scientist building predictive models, credit risk scorecards, and scalable data pipelines using Python, SQL, and GCP within a financial services/credit analytics environment.
Data Scientist intern at P&G using big data and advanced analytics to advise business leaders, building algorithms and turning insights into recommendations with tools like Python, R, Spark, SQL, and deep learning frameworks.
Design and build AI-native natural language reporting systems for Amazon Ads, enabling advertisers to query campaign performance in plain language and receive real-time insights.
Lead data science initiatives for a connectivity orchestration platform, building predictive/prescriptive ML models using Python, SQL, neural networks, LLMs, and knowledge graphs to solve complex product challenges.
Staff Data Scientist at Intuit's Global Business Solutions Group, driving data-driven strategies for QuickBooks Desktop mid-market customer growth, retention, and churn prevention using SQL, Python, causal inference, and machine learning.
Principal Analyst driving statistical modeling, ML, and agentic-AI workflows for US Medical digital engagement insights at Takeda's Bengaluru GCC. Core tech: Python, R, SQL, GenAI/agentic AI, Databricks.
The Senior Data Scientist will develop and deploy predictive models to support the IRS in fraud detection and tax compliance. The role involves working with large datasets using Python, SQL, and Databricks to deliver data-driven solutions for government clients.
Our Payments Data and Analytics team is responsible for delivering high impact insights to help grow our payments business, driving our Payments data strategy, and creating innovative data-driven products for our…
This entry-level Data Science role for 2027 graduates involves designing and developing algorithms, performing exploratory data analysis, and collaborating with engineering teams to drive business value. Candidates will utilize big data tools and advanced analytics to provide actionable insights for P&G business leaders.
An internship applying advanced analytics and big data techniques to drive business insights for P&G’s consumer-focused products, focusing on algorithm design, model development, and collaboration with engineering teams.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
The Data Scientist will develop and deploy machine learning models for enterprise use cases like demand forecasting, price optimization, and logistics. The role involves collaborating with cross-functional teams to build scalable analytical solutions using Python, SQL, and cloud platforms.
The Data Scientist II will develop and deploy scalable AI and machine learning solutions for business use cases like demand forecasting and logistics optimization. The role involves collaborating with engineering teams to implement models on Google Cloud Platform and contributing to data science best practices.
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries,…
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