Data Scientist

Position Summary

We are seeking a Data Scientist with experience in banking and finance. The ideal candidate will have a strong background in statistical analysis, machine learning, and large language models (LLMs), along with the ability to translate business problems into actionable data‑driven solutions.

• Analyze large financial datasets to extract insights and support business decisions.
• Develop, implement, and evaluate machine learning models for banking and finance use cases, such as risk modeling, fraud detection, and customer segmentation.
• Apply and fine‑tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
• Collaborate with cross‑functional teams to understand business requirements and deliver solutions.
• Communicate findings through reports, dashboards, and presentations.
• Work with data engineers to ensure data quality and pipeline reliability.
• Perform statistical analysis, data analysis/insights, and business problem framing.

• Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist in banking or a similar domain.
• Proficiency in Python or R and data science libraries (pandas, scikit‑learn, Tensor Flow, PyTorch).
• Hands‑on LLM experience (OpenAI GPT, Llama, etc.), including prompt engineering and fine‑tuning.
• Strong understanding of statistics, machine learning, and data mining techniques.
• Experience with visualization tools (Tableau, Power BI).
• Experience with Big Data platforms (Hadoop).
• Strong SQL and relational database skills.
• Excellent problem‑solving and communication skills.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Exposure to NLP, deep learning, or time series analysis.
• Experience in deploying models to production.
• Knowledge of banking regulatory and compliance requirements.
• Familiarity with MLOps practices and Agile tools (JIRA or Rally).

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $120,000 – $130,000 a year

Location:

Charlotte, NC

Role:
Data Scientist

Job