{"id":1805844,"url":"https://alion.io/job/capgemini-data-science-architect","title":"Data Science Architect","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":75,"open_postings":915,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-10T06:36:11Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-05T00:02:56Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"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.\nYour Role\nDesign scalable, secure, and high-performance data science and machine learning architectures to support advanced analytics and AI-driven decision-making.\nLead the architecture and implementation of end-to-end analytical solutions, from data acquisition and feature engineering to model deployment and monitoring.\nEstablish standards, frameworks, and best practices for data science, machine learning, MLOps, model governance, and AI solution development.\nCollaborate with business, product, technology, and analytics stakeholders to identify opportunities and translate business challenges into data science solutions.\nDefine architectures for predictive analytics, forecasting, optimization, recommendation systems, NLP, computer vision, and other advanced analytical applications.\nOversee the development and deployment of machine learning models, ensuring scalability, reliability, explainability, and operational excellence.\nEstablish model lifecycle management processes, including experimentation, versioning, validation, deployment, monitoring, and continuous improvement.\nEnsure adherence to Responsible AI principles, including fairness, transparency, explainability, privacy, security, and regulatory compliance.\nPartner with Data Engineering and Enterprise Architecture teams to design integrated data ecosystems that support AI and advanced analytics workloads.\nEvaluate and recommend emerging technologies, tools, and industry best practices to enhance organizational AI and data science capabilities.\nMentor and provide technical leadership to Data Scientists, ML Engineers, and Analytics teams while fostering innovation and knowledge sharing.\nYour Profile\nStrong expertise in Statistics, Machine Learning, Predictive Modeling, and Advanced Analytics.Proficiency in Python, R, SQL, and leading data science libraries and frameworks.\nExperience with Machine Learning, Deep Learning, NLP, Time Series Forecasting, and Optimization techniques.\nStrong understanding of MLOps, CI/CD, model deployment, monitoring, and model governance.Experience with cloud platforms such as Azure, AWS, or GCP.\nKnowledge of distributed computing and big data technologies such as Spark, Hadoop, or equivalent platforms.\nExpertise in data visualization, storytelling, and communicating complex analytical concepts to business stakeholders.\nStrong understanding of data governance, data quality, security, privacy, and Responsible AI principles. Excellent leadership, stakeholder management, problem-solving, and consulting skills.\nExperience architecting and delivering enterprise-scale AI, analytics, and data science solutions across multiple business domains.\nWhat will you love working at Capgemini\nYou will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.\nWe’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.\nAt Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. \nCapgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and ‘Battery Energy Storage Solution’ (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.\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":4741,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Government","Science & Engineering","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-03T19:10:09Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.53,"p_room":0.55,"age_days":23,"expected_fill_days":23,"reasons":["conf:0","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/capgemini-data-science-architect","json_url":"https://alion.io/job/capgemini-data-science-architect.json","meta":{"generated_at":"2026-10-05T01:13:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1545,"day_limit":5000,"remaining_today":3455,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}