Location: Irving, TX
Salary: $68.00 USD Hourly - $73.00 USD Hourly
Description: Data Scientist / Machine Learning Engineer, GenAIWe are not accepting C2C or 1099 arrangements.Location: Charlotte, NC or Irving, TX
Work Model: Hybrid (3 days onsite per week)
Duration: 12-month contract (potential to extend or convert)
About the roleWe're looking for a Data Scientist / Machine Learning Engineer to help build advanced analytics and Generative AI (GenAI) solutions for Corporate & Commercial Investment Banking (CCIB).
In this role, you will partner with engineering and business teams to design, develop, and deploy scalable machine learning and AI-driven solutions that drive insights, improve efficiency, and enable innovation across multiple lines of business.
What you'll do- Analyze large, complex datasets using SQL and statistical methods to identify trends and solve business problems
- Design and build scalable data pipelines, feature engineering workflows, and machine learning models using Python or Java
- Develop and evaluate ML models (e.g., Random Forest, XGBoost), including tuning and performance validation
- Apply Generative AI tools (e.g., Gemini or similar LLMs) to accelerate analysis, automate workflows, and generate insights
- Translate technical results into clear business recommendations using visualizations, reports, and presentations
- Collaborate with engineering teams to deploy solutions and with stakeholders to align on business objectives
- Contribute to complex, large-scale initiatives requiring strategic thinking and cross-functional coordination
Minimum qualifications- 5+ years of experience in software engineering, data science, or machine learning (or equivalent practical experience)
- Experience with SQL and working with structured and semi-structured data
- Proficiency in Python or Java for data analysis and ML development
- Hands-on experience building, training, and evaluating machine learning models
- Experience using Generative AI or large language models (LLMs), including prompt engineering or AI-assisted workflows
- Ability to independently own projects from problem definition to delivery
Preferred qualifications- Experience in financial services, banking, or capital markets
- Familiarity with cloud platforms and model deployment frameworks
- Experience with big data or distributed systems
- Exposure to real-time analytics or data engineering pipelines
About youYou are a self-starter who enjoys solving complex problems with data. You're comfortable working in ambiguous environments, collaborating across teams, and delivering impactful solutions. You combine strong analytical thinking with practical ML and GenAI skills, and you're excited to apply emerging AI technologies to real-world business challenges.
Additional details- Schedule: 3 days onsite per week (8 hours/day)
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