-
View all jobs
Job Title: Data Scientist
Duration: 06+ Months - potential to extend
Locations: Charlotte, NC / Dallas, TX / Phoenix/Chandler, AZ / San Francisco Bay Area, CA - Hybrid Role (3 days onsite in a week)
About this role:
Duration: 06+ Months - potential to extend
Locations: Charlotte, NC / Dallas, TX / Phoenix/Chandler, AZ / San Francisco Bay Area, CA - Hybrid Role (3 days onsite in a week)
About this role:
- Seeking a Data Scientist role to join Commercial Banking Model Development CoE. This role is pivotal in accelerating the design, development, and implementation of cutting-edge Generative AI (GenAI) and Agentic solutions within Commercial Banking.
- The successful candidate will optimize model development and implementation for GenAI/Agentic use cases, work with a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for content extraction, summarization, generation, automation use cases using agentic frameworks, build and deploy LLM evaluation framework, build and reuse prompt libraries at scale to improve employee/customer experience, drive operational efficiencies, drive growth, and mitigate risks.
- Working with data, platform, and technology partners, this role will accelerate and optimize design and delivery of GenAI and Agentic solutions by ensuring data, utilities, capabilities, and best practices are available on-prem and in the cloud.
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Strong full stack data science skills, hands on experience with ADK, MCP, A2A, O2A. LLM evaluation framework, design and develop LLM guardrails, assertions, controls, and performance monitoring.
- Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP.
- Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale
- Experience in the financial services industry, Commercial Banking a plus
- Familiarity with regulatory and compliance considerations in GenAI/AI model deployment
- Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders
Key Skills
Ranked by relevance
cloud
ai
google cloud platform
machine learning
deep learning
tensorflow
pytorch
python
gcp
san
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Engineer, AI / ML & Analytics Platform Engineering
2026-02-18
Full-time
Mid-Senior
United States
IT Services
Other
View Job Details
Related
Artificial Intelligence / Machine Learning Architect, Data Scientist, Machine Learning Engineer, Dat
2026-02-18
Full-time
Mid-Senior
Canada
IT Services
Other
View Job Details
Related
.NET Architect
2026-05-26
Full-time
Not Applicable
United States
IT Services
Other
Login to Apply
- Posted
- Feb 10, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Charlotte
- Company
- Veracity Software Inc
Industries
IT Services
IT Consulting
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Engineer, AI / ML & Analytics Platform Engineering
2026-02-18
Full-time
Mid-Senior
United States
IT Services
Other
View Job Details
Related
Artificial Intelligence / Machine Learning Architect, Data Scientist, Machine Learning Engineer, Dat
2026-02-18
Full-time
Mid-Senior
Canada
IT Services
Other
View Job Details
Related
.NET Architect
2026-05-26
Full-time
Not Applicable
United States
IT Services
Other