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Senior Data Scientist building predictive models (GLMs, tree-based, neural nets) and applying advanced analytics to support enterprise needs at a credit card/financial services company, using Python, SQL, and Spark SQL.
The Data Science Engineer III will design, develop, and maintain scalable batch and streaming data pipelines on GCP to support AI/ML-driven travel products. This role involves collaborating with cross-functional teams to ensure high data quality and performance within Sabre's cloud-native data intelligence platform.
DataArt is seeking a Senior Data Science/ML Engineer to work on various global projects within a flexible and innovative environment. The role focuses on applying data science and machine learning expertise to client solutions.
The role involves developing and maintaining advanced insurance pricing models using Databricks to improve risk selection and business performance. You will collaborate with cross-functional teams to implement data-driven insights into practical insurance products.
Clinical Data Science Programmer, Chennai ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven…
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
This role involves designing and optimizing high-performance machine learning algorithms using C++ and CUDA for GPU acceleration to manage credit and fraud risk. The position requires a PhD-level expert to translate complex mathematical models into scalable, production-quality code within a cloud-based environment.
Leads digital transformation and data science initiatives across POET, redesigning processes and deploying AI/ML analytics to improve efficiency and decision-making in supply chain, operations, and finance.
This Data Scientist role involves developing and deploying predictive models, such as segmentation and forecasting, to support commercial and marketing initiatives for a retail business. The position requires advanced Python and SQL skills to analyze large datasets and translate findings into actionable business insights.
Design and deploy AI, ML, optimization, and control algorithms for building automation and energy management at Honeywell Connected Enterprise, using Python, MATLAB, and Spark in cloud and edge environments.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Build and deploy AI/ML models, optimisation and control algorithms for building automation and energy management using Python, MATLAB and cloud/edge platforms.
A Data Scientist at Adobe’s mobile team analyzes customer behavior and business trends to drive data-driven decisions for acquisition, monetization, engagement, and retention. Uses ML, SQL, and visualization tools to generate actionable insights for GTM and product teams.
Builds and validates AI models for industrial manufacturers, transforming raw plant data (time-series, sensors, downtime) into actionable insights for clients and platform integration.
Entry-level data science graduate building and validating analytic models, performing EDA, and creating visualizations to translate insights into business stories—hybrid role (2 days/week) in Spring, TX.
About this role: Wells Fargo is seeking a Senior Data Science Consultant. In this role, you will: Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical,…
Senior Data Scientist at Barclays applying statistical analysis, machine learning, and AI on large datasets using Python, SQL, and Pyspark to generate strategic business insights and build predictive models.
Own the diagnostic and evaluation loop for LLM-based clinical services—form root-cause hypotheses on failure modes, design experiments, and verify fixes using structured evals (golden sets, regression suites). Core tech: Python, SQL, LLM evaluation tooling, and observability stacks.
Build and deploy ML, graph, and deep-learning models to solve complex banking problems, turning data into actionable strategies for BBVA’s global operations.
Data Scientist at The Home Depot designing and developing algorithms and models on large datasets to drive business insights, using Python, SQL, Tableau, and ML/AI techniques including NLP, computer vision, and generative AI.
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