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Sr. Data Scientist

Apolis

  • Charlotte, NC
  • 7 days ago
  • $55–$60 Per Hour

Highlights

The ideal candidate will have a strong background in statistical analysis, machine learning, and large language models (LLMs), with a strong ability to translate business problems into actionable data-driven solutions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).

Numbers & Facts

LocationCharlotte, NC
IndustryComputer/IT Services
Salary$55–$60 Per Hour
Company Size500 to 999 employees
Websitehttps://www.apolisrises.com/

Description

Position: Sr. Data Scientist
Location: Charlotte NC / Hybrid- 3 days onsite
Duration: 6-12 months (possible extension) 

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), with a strong ability to translate business problems into actionable data-driven solutions.

Position Summary
  • 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).
  • 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 data-driven solutions.
  • Communicate findings and recommendations through reports, dashboards, and presentations.
  • Work with data engineers to ensure data quality and pipeline reliability.
  • Work with AI/ML engineers to build AI solutions.
Required Qualifications
  • Master’s degree 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 experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
  • Strong knowledge of statistics, machine learning, and data mining techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with Big Data Platforms (Hadoop), Relational Databases (Oracle) and NoSQL Databases (MongoDB).
  • Experience with Agentic AI and Agent Development.
  • Familiarity with SQL and working with relational databases.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
Desired Qualifications
  • Experience with NLP, deep learning, or time series analysis.
  • Experience deploying models to production environments.
  • Knowledge of regulatory requirements and compliance in banking and finance.
  • Familiarity with MLOps practices and tools.
  • Experience with Agile methodology and tools (JIRA or Rally)

Benefits

Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans

About Company

Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.

We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.

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