{"id":3096386,"url":"https://alion.io/job/capgemini-data-scientist-16","title":"Data scientist","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1705,"ghost_share":0.002,"stale_share":0.828,"repost_share":0.012,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":41000,"period":"year","method":"role_country_seniority_unknown","sample_n":171},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Digital Twin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"GraphRAG","optional":false},{"name":"ITSM","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":true}],"status":"closed","first_seen_at":"2026-10-05T14:36:56Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-01T06:37:38Z","board_verified":false,"closed_at":"2026-11-01T06:37:38Z","days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.\nChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nAs a Data Engineer, you will design, build, and maintain enterprise data platforms that support AI-driven products and analytics initiatives. You will work closely with Data Scientists, Architects, AI Engineers, and business stakeholders to develop robust data pipelines, digital twin platforms, knowledge graphs, and AI-ready data architectures.\nDesign and implement data source connectors for telemetry, topology, intent, ITSM, knowledge repositories, and enterprise applications.\nBuild ingestion, validation, replay, and data contract frameworks for large-scale data onboarding.\nDevelop ingestion and topology mapping capabilities to transform raw telemetry into incident-aware datasets.\nDesign, develop, and maintain Network Digital Twin and topology graph platforms.\nBuild and manage Knowledge Graphs, ontology frameworks, entity relationships, and semantic data models.\nDevelop reusable Feature Engineering Frameworks and Feature Store capabilities for AI/ML applications.\nEnable data foundations for RAG, GraphRAG, Vector Databases, and AI Agent frameworks.\nDevelop and optimize data pipelines for model training, deployment, monitoring, and lifecycle management.\nImplement metadata management, lineage tracking, observability, security, auditing, and governance frameworks.\nSupport integrations with AI reasoning engines, recommendation systems, and agent orchestration platforms.\nCollaborate with cross-functional teams to deliver scalable, enterprise-grade AI and analytics solutions.\nYour Profile\nStrong programming expertise in Python and SQL.\nExperience with JavaScript, React, or Angular.\nStrong knowledge of Data Modeling, ETL/ELT, and Data Architecture principles.\nHands-on experience with Apache Spark, Spark Streaming, and Kafka.\nExperience building and managing Data Lakes.\nStrong experience with AWS services including: S3, Glue, Lambda, SageMaker\nKnowledge of Machine Learning, Deep Learning, Predictive Analytics, and Statistical Modeling.\nExperience with Generative AI technologies including: Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG) , AI Agents ,Agentic AI Frameworks\nExpertise in: Relational Databases, Graph Databases , Vector Databases\nExperience building APIs, Data Pipelines, and Batch/Real-Time Data Processing frameworks.\nStrong understanding of: Data Quality , Metadata Management, Data Lineage, Data Governance\nAWS Glue and Azure Data Factory.\nSageMaker Pipelines.\nExperience with Digital Twin platforms and architectures.\nKnowledge of GraphRAG and advanced RAG solutions.\nMLOps and LLMOps implementation experience.\nDataOps practices and automation frameworks.\nExperience with Enterprise Knowledge Management Platforms.\nStrong analytical, debugging, and problem-solving skills.\nWhat You'll Love About Working Here\nOpportunity to work on cutting-edge AI, GenAI, Knowledge Graph, and Digital Twin technologies.\nExposure to enterprise-scale AI and analytics transformation initiatives.\nCollaborative environment with Data Scientists, AI Engineers, Architects, and domain experts.\nContinuous learning opportunities across Data Engineering, GenAI, MLOps, and Cloud technologies.\nAbility to build scalable AI data foundations that drive measurable business impact and innovation.\nInnovation-driven culture focused on engineering excellence and technical growth.\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.","description_format":"text","description_chars":4990,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Management Consulting","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-22T16:09:33Z"},{"event":"close","at":"2026-11-01T06:37:38Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/capgemini-data-scientist-16","json_url":"https://alion.io/job/capgemini-data-scientist-16.json","meta":{"generated_at":"2026-11-02T20:37:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28821,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":145},"rest":"https://alion.io/mcp/rest/get_company?id=145"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapgemini-data-scientist-16"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcapgemini-data-scientist-16"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcapgemini-data-scientist-16"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/capgemini-data-scientist-16\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapgemini-data-scientist-16"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3096386}},{"tool":"search_jobs","arguments":{"company":"capgemini.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3096386},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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