> Markdown version of [/jobs/ext/3623872-ml-engineer-data-scientist](https://www.wearedevelopers.com/jobs/ext/3623872-ml-engineer-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer / Data Scientist - **Company:** Vsg Business Solutions - **Location:** Charlotte, NC, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Integration Architecture, Cloud Computing, Data Integration, Database Queries, Python (Programming Language), SQL Databases, Build Management - **Published:** October 8, 2026 - **Apply:** https://www.careerjet.com/jobad/us0e2146f2102d7717478ac552160ac8ca ## About the Role * Domain Knowledge: Strong background in Financial Investment Securities and Personal Wealth. * Data Querying & Analysis: Expertise in SQL and/or * Python for querying and data analysis, with a stronger emphasis on analysis than core engineering. * Cloud & AI Technologies: Hands-on experience with AWS services (including Bedrock, Glue, and S3). ## Description Ropes test required Vanguard ML/OPS / Data Scientist. Top 5 priorities: * Investment Securities / Personal Wealth MUST HAVE * Transaction & Cash Flow Analysis buy/sell, fund movement, transaction patterns * SQL / Python strong data analysis skills * AWS Bedrock, Glue, S3 * AI / GenAI using AI for data consolidation and transaction analysis #1 filter: Investment/Wealth domain experience. Focus on investments and Personal Wealth. This role will lead initiatives to analyze standard transactions (buy/sell) and track transaction patterns and cash flow metrics over time to predict incoming and outgoing fund movement. Key Responsibilities & Focus Areas * Transaction Stitching Application: Design and build a comprehensive transaction stitching application to map and monitor the journey of funds within a client's account across their lifetime. * Data Exploration & Insights: Perform data exploration to extract actionable insights and identify cash flow trends. * AI Integration: Leverage AI tools to consolidate data, evaluate outputs, and analyze transaction activity.