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Develops AI-driven software for ground support systems, building and optimizing ML models in Python to analyze mission data and improve aircraft maintenance and planning.
Postdoctoral research role applying AI/ML to integrate ECG, genomic, and proteomic data for cardiovascular disease research at Novartis in Cambridge.
Leads data science efforts in translational medicine, analyzing high-dimensional clinical/biological datasets (genomics, omics, imaging) to drive drug discovery, patient stratification, and clinical trial success across Novartis’ pipeline.
Build and optimize data pipelines in Azure Synapse using PySpark/Python, migrate ADF workflows, and design scalable data models for analytics and reporting.
Build and analyze user funnels, predictive models, and experiments to drive growth in Adobe’s design tools like Illustrator and InDesign.
Lead data-science projects for Adobe’s design tools, designing metrics, running experiments, and building AI-driven models to improve Illustrator, InDesign, and next-gen creative products.
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
Build and deploy ML models (embeddings, foundation models) to improve customer experiences in banking, using Python/Scala and cloud tools like Spark and AWS.
Job Family : Data Science & Analysis, Data Science Consulting Travel Required : None Clearance Required : None Guidehouse is seeking a Databricks Data Scientist to join our AI & Data team to support client…
Analyze credit-risk and commercial data using R, Python, and SQL to build predictive models and insights for financial clients in a hybrid role based in Bogotá.
Build and deploy agentic AI and LLM systems to automate complex financial workflows, focusing on business outcomes and enterprise governance.
Senior Data Scientist builds and deploys ML, statistical, and operational-research models to extract insights from large industrial datasets and turn them into commercial products and services.
Lead a cross-functional team to build and govern AI/ML models for credit card analytics, financial forecasting, and GenAI customer communications at a global bank.
Build and deploy ML models to extract insights from structured/unstructured data for government clients, using Python/R and cloud tools.
Build and deploy generative AI applications using LLMs, RAG, and frameworks like LangChain for clients in advisory projects.
Data scientist in a two-year rotational program building predictive models and analytics for insurance risk solutions using Python/R, SQL, and visualization tools.
Develop and document fraud-detection models (regression, XGB, neural networks) and ensure compliance with SR-11-7/SR-26-2; partner with risk teams to validate and monitor performance.
Build and refine predictive models and statistical studies to assess insurance risks and improve portfolio insights using Python, R, and ML, while mentoring junior team members.
Build and prototype AI solutions using LLMs, agentic systems, and modern frameworks to solve business challenges and enhance predictive models for clients.
Agency: Flywheel Job Function: Data and Analytics Job Subfunction: Data Engineering Job Description: About Flywheel Flywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces…
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