{"id":34694,"url":"https://alion.io/job/invesco-principal-data-scientist-sip","title":"Principal Data Scientist, SIP","company":{"id":13836,"name":"Invesco","domain":"invesco.com","url":"https://alion.io/company/invesco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":43,"ghost_share":0.023,"stale_share":0.535,"repost_share":0.047,"time_to_fill_p50_days":43,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States","Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":245000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Cortex","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-07-17T00:00:00Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-28T19:45:48Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":104},"description":"About Invesco\nAs 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.\nWhat’s in it for you?\nOur people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:\nFlexible paid time off\n\nHybrid work schedule\n\n401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution\n\nHealth & wellbeing benefits\n\nParental Leave benefits\n\nEmployee stock purchase plan\n\nJob Description\nYour Role\nThe 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.\nWe 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.\nYou Will Be Responsible For:\nLeading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.\n\nDesigning and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.\n\nDeveloping robust evaluation frameworks and \"gold-standard\" datasets to measure the performance, faithfulness, and accuracy of generative outputs.\n\nScaling 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.\n\nCollaborating 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.\n\nImplementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.\n\nApplying emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.\n\nThe Experience You Bring:\n7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.\n\nStrong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps.\n\nExposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.\n\nFamiliarity with creating evaluation metrics and building datasets for model validation and testing.\n\nProactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.\n\nA desire to work at the intersection of data engineering and full-stack development, with the agility to pivot based on rapid sprint feedback.\n\nFull Time / Part Time\nFull timeWorker Type\nEmployeeJob Exempt (Yes / No)\nYesWorkplace Model\nPursuant 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.\nThe 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.\nInvesco'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. 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