{"id":113427,"url":"https://alion.io/job/vanguard-data-scientist-specialist","title":"AI Scientist, Specialist","company":{"id":253,"name":"The Vanguard Group","domain":"vanguard.com","url":"https://alion.io/company/vanguard","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":82,"ghost_share":0.037,"stale_share":0.524,"repost_share":0.183,"time_to_fill_p50_days":27,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Malvern, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":276000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Google ADK","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-25T11:07:32Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"Responsibilities\nOwn end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.\nLead the design, development, evaluation, and deployment of agentic AI solutions that orchestrate large language models, enterprise tools, and data sources to solve complex business problems.\nEvaluate emerging AI capabilities-including fine-tuning, prompt engineering, retrieval-augmented generation, and multi-agent architectures-and assess their relevance to Vanguard Workplace Solutions priorities.\nLead deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making, including alternative model approaches that advance future capabilities.\nPartner with senior leaders and business stakeholders to understand processes, shape hypotheses, clarify requirements, and translate business needs into actionable analytical approaches.\nGuide research design, model evaluation, validation, monitoring, and responsible-use practices, providing expert judgment on model performance, stability, governance, and appropriate application.\nBuild reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, scalability, and quality across the analytics and AI community.\nPrepare and deliver clear, insightful presentations with recommended actions, communicating complex analytical findings and business implications to leadership audiences.\nMentor and develop junior AI scientists and analysts through technical guidance, coaching, and knowledge sharing.\nParticipate in special projects and perform other duties as assigned.\nQualifications\nHands-on experience building LLM-powered applications, such as retrieval-augmented generation pipelines, prompt engineering workflows, fine-tuning approaches, or agentic frameworks including LangChain, LangGraph, or Google ADK.\nRelated work experience in data science, AI, machine learning, or analytical roles, with strong experience applying statistical and machine learning methods to business problems.\nExperience with large language models, generative AI, knowledge graphs, and modern AI evaluation practices.\nProficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.\nExperience with cloud platforms, such as AWS, and associated AI services, data platforms, and deployment tools.\nStrong stakeholder management, communication, storytelling, and collaboration skills, with the ability to influence technical and nontechnical audiences.\nSpecial Factors\nSponsorship\nVanguard is not offering visa sponsorship for this position.About Vanguard\nAt Vanguard, we don't just have a mission-we're on a mission.\nTo work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.\nHow We Work\nVanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. 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