Principal Data Scientist, SIP

Invesco Real Estate; Atlanta (GA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental Leave

Job summary

Invesco seeks a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems for complex financial challenges. You will lead multi‑agent workflows, develop evaluation frameworks, and scale AI initiatives across technology teams, collaborating with engineers and investment professionals to deliver production-ready AI solutions.

Ideal candidates have 7–10 years of data science experience with NLP and Generative AI, strong Python, cloud-native skills, and familiarity with

Qualifications

• 7–10 years of data science or ML experience with NLP and Generative AI focus.
• Strong Python and cloud-native development skills; familiarity with Docker, CI/CD, and DevSecOps.
• Experience creating evaluation metrics and building datasets for model validation and testing.
• Interest in LangGraph/LangChain and agent-based systems; proactive use of AI tools to speed tasks.

Responsibilities

• Lead and collaborate with software engineers, data engineers, and investment professionals to build AI-based tools using diverse data sources.
• Design and implement complex reasoning loops using LangGraph, LangChain, or AgentCore to create dynamic agents.
• Develop robust evaluation frameworks and gold-standard datasets to measure model performance and faithfulness.
• Scale AI initiatives across Invesco Technology with reusable patterns, templates, and subagents.

Skills

NLP

Generative AI

Python

Cloud-native development

Docker

CI/CD

DevSecOps

LangGraph

LangChain

Copilot Studio

AgentCore

Multi-agent systems

Evaluation metrics

Tools

LangGraph

LangChain

Copilot Studio

AgentCore

Cortex

GitHub Copilot

Claude Code

Docker

CI/CD

Job description

## Principal Data Scientist, SIPApplylocations: Atlanta, Georgia: Houston, Texastime type: Full timeposted on: Posted Todayjob requisition id: R-14471# **About Invesco**As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.# # **What’s in it for you?**Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:* Flexible paid time off* Hybrid work schedule* 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution* Health & wellbeing benefits* Parental Leave benefits* Employee stock purchase plan# # **Job Description****Your Role**The Advanced Engineering team is Invesco’s AI center of excellence, driving innovation through IVYGPT, agentic AI frameworks, and business-sponsored GenAI solutions that improve efficiency across the firm. The team also promotes AI adoption through meetups, hackathons, and cross-functional collaboration.We are seeking a **Principal Data Scientist** in Atlanta to design, build, and validate agentic AI systems that solve complex financial challenges. Using tools such as Copilot Studio, LangGraph, Cortex, and AgentCore, you will create multi-agent workflows, develop evaluation frameworks, and lead AI initiatives from concept to production. This role is ideal for a hands-on leader who thrives on building, testing, and scaling AI solutions.**You Will Be Responsible For:*** Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.* Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.* Developing robust evaluation frameworks and "gold-standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs.* Scaling AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code.* Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.* Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.* Applying emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.**The Experience You Bring:*** 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.* Strong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps.* Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.* Familiarity with creating evaluation metrics and building datasets for model validation and testing.* Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.* A desire to work at the intersection of data engineering and full-stack development, with the agility to pivot based on rapid sprint feedback.# **Full Time / Part Time**Full time# **Worker Type**Employee# **Job Exempt (Yes / No)**Yes# **Workplace Model**Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.