{"id":3095145,"url":"https://alion.io/job/jpmorganchase-applied-ai-ml-senior-associate-2","title":"Applied AI ML - Senior Associate","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":1100,"ghost_share":0.022,"stale_share":0.571,"repost_share":0.055,"time_to_fill_p50_days":14,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":160000,"max_usd":285000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-01T07:53:04Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-11-06T03:56:21Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You’ll collaborate with talented colleagues, leverage cutting-edge tools, and contribute to a pioneering operating environment. We invest in your growth, offering hands-on experience and the chance to make a real difference. Your expertise will help us deliver faster, smarter solutions that empower our organization.\nAs an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. You will contribute to building an artificial-intelligence-native operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.\nJob Responsibilities:\nDesign, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges\nConduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations\nContribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency\nApply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery\nPartner with business stakeholders to translate requirements into analytical solutions and measurable outcomes\nCollaborate with technology teams to build scalable, reliable, and secure analytics and AI products\nIdentify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions\nSupport adoption of reusable methodologies, tools, and vendor capabilities where appropriate\nCommunicate findings and recommendations clearly to technical and non-technical audiences\nEnsure adherence to all applicable risk, control, and governance requirements\nRequired Qualifications, Capabilities, and Skills:\nBachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline\nExperience developing and deploying machine learning or AI solutions using modern tools and techniques\nWorking knowledge of large language models, agentic frameworks, or generative AI technologies\nExperience with statistical analysis, experimentation, and model evaluation methodologies\nProficiency in Python, SQL, and data science tooling used in enterprise environments\nStrong analytical, problem-solving, and communication skills\nAbility to manage multiple priorities and deliver results in a collaborative environment\nPreferred Qualifications, Capabilities, 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