Data Scientist - Charlotte

Data scientist with experience in NLP, deep learning and time series analysis, · Analyze large financial datasets to extract insights and support business decisions. · Develop machine learning models and algorithms tailored to banking and finance use cases.Fine-tune large languag ...

Seeking a Data Scientist role to join Commercial Banking Model Development CoE. · ...

We are seeking a skilled Data Scientist AI/ML Engineer with a strong background in Python scripting and experience in developing AI solutions using LangChain and LangGraph. · Only W2. ...

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. · ...

We are looking for a talented · Data Scientist skilled in Python and SQL. · ...

Data scientist · Analyze large financial datasets to extract insights and support business decisions. · Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). ...

Analyze large financial datasets to extract insights and support business decisions. · ...

We are seeking an experienced Data Scientist II (Fraud Analytics) to join our analytics and risk intelligence team. · Develop and deploy advanced machine learning models that detect, prevent, and mitigate fraud across payments, cards, deposits, and digital channels · ...

Data Scientist · This position involves working with business SMEs to understand data requirements and translate them into predictive models and analytical tools. It also requires applying NLP and applied mathematics techniques to develop text classification tools for automating ...

At PMMC, our mission is to improve the financial performance of healthcare organizations so they can dedicate more resources to patient care. We provide advanced revenue cycle management solutions to hospitals, health systems and physician groups across the country. · ...

Data Scientist · Analyze large financial datasets to extract insights and support business decisions. · Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). ...

This Data Scientist I role will be a part of the ECATS Analytics & AI team which is responsible for assessing, designing, building, managing and maintaining Artificial Intelligence Solutions for our Enterprise Credit and Banking teams. · ...

Net 2 Source Inc.is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. · ...

Data Scientist Lead will lead the strategy architecture and implementation of agentic AI systems for Healthcare Digital. The role involves designing managing MCP servers building multi-agent systems developing governance and routing layers integrating agent-driven capabilities in ...

Data Scientist position available with proven hands-on experience implementing Gen AI project using open source LLMs. · Experience in fine-tuning Large Language Models like LLAMA2,GPT-4. · Expertise in prompting Large Language Model GPT-4,GPT-3 · ...

We are seeking an experienced Analytics Consultant to join the Financial Crimes Analytics and Monitoring Solutions (FCAMS) team.This role is critical in developing and maintaining advanced quantitative and qualitative models that detect unusual transaction patterns. · ...

h2>Job summary · We are seeking a highly skilled Senior Data Scientist / AI/ML Developer with strong expertise in AI/ML. · ...

Data Scientist position available in Charlotte, NC. · Must Have Technical/Functional SkillsDevelop code to implement the technical functionality intended for the businessAbility to work in dynamic team environment ...

Dice is seeking a Data Scientist with Genesis10 for a contract position in Charlotte. · ...

Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Analyze large financial datasets to extract insights and support business decisions. · ...