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Leads a GenAI team to develop fraud detection models and AI-driven solutions, blending technical expertise in Python, LLMs, and MLOps with leadership to scale data science initiatives in fintech.
Designs and implements scalable data science algorithms to drive business insights for P&G’s consumer-focused products, collaborating with cross-functional teams to translate data into actionable recommendations.
Develop and maintain advanced inventory and supply planning models, build dashboards and KPIs, and drive automation for IBP supply planning at Agilent using Python, SQL, and BI visualization tools.
This role involves leading the development of advanced AI and machine learning models to analyze workforce data and provide actionable insights for HR leaders. The position requires expertise in predictive modeling, statistical inference, and generative AI technologies to enhance the company's People Intelligence platform.
The Data Scientist will design and implement scalable machine learning and optimization models to enhance business processes at P&G. The role involves collaborating with engineering teams to productionize algorithms using Python, cloud platforms, and advanced AI techniques.
Data Scientist designing and implementing end-to-end generative AI and LLM solutions, working across the full software development lifecycle with NLP/CV, Python, and cloud platforms (Azure, AWS, GCP).
As a Data Scientist at 4flow, you will develop AI and machine learning solutions to optimize supply chain processes for international clients. The role involves analyzing complex data, building optimization algorithms, and collaborating with interdisciplinary teams to deliver data-driven consulting insights.
Data Scientist in Fraud Analytics at Citi working with large, complex datasets to evaluate and implement business strategies using SQL, statistical models, and data visualization to predict and measure business outcomes in a financial/credit card context.
Lead Data Scientist responsible for designing, developing, and deploying AI/ML models, analyzing complex datasets, and mentoring junior scientists using Databricks, AI/ML Ops, and agile methodologies in a hybrid New York office.
End-to-end Senior Data Scientist at AEGIS London building and deploying ML models to improve underwriting profitability, using Python, cloud ML (Azure), and MLOps practices while collaborating closely with actuaries and underwriters.
Senior Data Scientist leading operational excellence for production AI and GenAI applications—handling enhancements, customer onboarding, release management, and compliance—using Python, LLMs, LangChain, RAG architectures, and SQL.
Maintain and enhance production AI/GenAI apps, troubleshoot issues, and support client onboarding using Python, LLMs, and orchestration frameworks.
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
About Us: Kotak811 is a completely digital, in-your-phone, mobile bank. It was founded in 2016 to help India adapt, evolve, and eventually overcome the barrier of digital banking and make it accessible to all. Our sole…
Job Location MUMBAI GENERAL OFFICE Job Description Job Description Overview P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and…
The Seller Fee Science Team integrates economic modeling, machine learning, and artificial intelligence to guide fee strategy, quantify its impact, and ensure fees are accurately computed and explained for billions of…
Do you feel the challenge and the adrenaline kick when a huge data-set stares you in the face and you know that somewhere inside are hidden very important business insights that can fundamentally alter the way top…
Lead a team building and deploying AI-driven credit risk models and decisioning pipelines using large-scale data and cloud tools to optimize customer acquisition policies.
The Senior Data Scientist will lead the design and deployment of AI, Generative AI, and Agentic AI solutions to automate workflows across manufacturing, supply chain, and R&D functions. The role involves building enterprise AI applications using Python, SQL, LLMs, and cloud-native data platforms.
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