{"id":3324219,"url":"https://alion.io/job/conduent-data-scientist-i","title":"Data Scientist I","company":{"id":1772445,"name":"Conduent","domain":"conduent.com","url":"https://alion.io/company/conduent-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":37,"ghost_share":0,"stale_share":0.973,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":19500,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-10-27T07:13:10Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T08:28:06Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Responsibilities:\nDevelop, test, and deploy Analytics, AI, and Generative AI solutions using Azure AI services and modern\napplication development frameworks.\nBuild GenAI applications leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, & related Azure services.\nDevelop Retrieval-Augmented Generation (RAG) solutions, AI assistants, AI agents, knowledge retrieval systems,\nand intelligent business applications.\nImplement prompt engineering, prompt orchestration, and grounding\nDevelop AI agents, agent workflows, & multi-step reasoning processes to automate tasks and user interactions.\nImplement tool integrations, workflow orchestration, and human-in-the-loop capabilities.\nDesign and develop APIs, microservices, integrations, and cloud-native services.\nDeploy, configure, and support solutions across Azure cloud environments.\nDevelop and maintain infrastructure, application configurations, & deployment assets supporting solution delivery.\nPerform unit testing, integration testing, debugging, and performance optimization.\nBuild and maintain CI/CD pipelines supporting automated testing and deployment.\nWork with Azure services including App Services, Azure Functions, Container Apps, Storage, Key Vault, API\nManagement, and related platform components.\nSupport production deployments, release validation, and operational readiness activities.\nFollow established development standards, architecture guidelines, DevOps practices, and coding standards.\nParticipate in code reviews, design reviews and contribute to technical documentation, implementation guides,\ndeployment procedures, and operational runbooks.\nParticipate in Agile planning, sprint execution, estimation, and delivery activities.\nStay current with advances in AI, GenAI, cloud technologies, and software engineering practices.\nExperience Needed:\n3-5 years of experience in software engineering, cloud engineering, analytics, AI, data engineering, or application\ndevelopment.\n2+ years experience developing and delivering cloud-native applications and services. Hands-on Azure experience\nis required.\nExperience delivering enterprise solutions using modern software development practices.\nExperience working within Agile and cross-functional delivery teams.\nHands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure\nFunctions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components\nHands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval[1]augmented generation) patterns, responsible AI controls & guardrails, AI orchestration.\nStrong Python development skills.\nExperience building REST APIs, microservices and implementing cloud-native applications.\nStrong understanding of software architecture principles and design patterns.\nExperience building containerized applications using Docker and Kubernetes technologies.\nFamiliarity with front-end application development and modern application frameworks.\nExperience with: CI/CD pipelines, Infrastructure-as-Code, Test automation, Monitoring and observability,\nProduction support processes, Root cause analysis and Performance optimization\nBS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.\nAdditional Requirements\nStrong written and verbal communication skills.\nAbility to work directly with technical and business stakeholders.\nExperience supporting global onshore/offshore delivery models.\nStrong problem-solving and analytical skills.\nAbility to balance hands-on development responsibilities with technical leadership responsibilities.\nPassion for emerging Analytics, AI, and GenAI 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