{"id":3714191,"url":"https://alion.io/job/kyndryl-data-scientist-agentic-ai-2","title":"Data Scientist – Agentic AI","company":{"id":91,"name":"Kyndryl","domain":"kyndryl.com","url":"https://alion.io/company/kyndryl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":132,"ghost_share":0,"stale_share":0.614,"repost_share":0.03,"time_to_fill_p50_days":35,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Madrid, Spain","Barcelona, Spain","Granada, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","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},{"name":"Agentic Workflows","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CrewAI","optional":true},{"name":"DeepEval","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"LangSmith","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:19:40Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-04T11:30:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who We Are\nAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.\nThe Role\nYour Role\nAs a Senior Data Scientist at Kyndryl, you will play a key role in designing, developing, and deploying advanced Artificial Intelligence solutions that address complex business challenges and deliver measurable value to our clients.\nYou will work across the evolving AI landscape, combining traditional Machine Learning and advanced analytics with Generative AI, Large Language Models (LLMs), and emerging Agentic AI technologies to build intelligent, scalable, and reliable solutions.\nAs part of a multidisciplinary team of AI specialists, data scientists, engineers, and architects, you will contribute to the full AI lifecycle, from problem definition and experimentation to production deployment, monitoring, and continuous improvement.\nThis is an opportunity to work with cutting-edge technologies, contribute to innovative AI initiatives, and help organizations transform their operations through the responsible adoption of AI.\nWhat You Will Do\nShape AI-Driven Transformation\nDeliver business impact: Translate complex business needs into actionable AI and Data Science solutions, identifying opportunities where Machine Learning, Generative AI, and Agentic AI can create tangible value.\nDrive technical innovation: Explore and evaluate emerging AI methodologies, architectures, and technologies, combining established Data Science approaches with the latest advances in foundation models and intelligent agents.\nConnect technology and business: Work closely with clients and stakeholders to understand their challenges, define AI use cases, and communicate technical concepts, findings, and recommendations effectively.\nDesign and Develop Advanced AI Solutions\n Develop Generative AI applications: Design and implement solutions leveraging LLMs, embedding models, Retrieval-Augmented Generation (RAG), prompt engineering, and model adaptation techniques to address enterprise use cases.\nBuild Machine Learning solutions: Design, develop, train, and evaluate predictive and analytical models using statistical methods, supervised and unsupervised learning, deep learning, and other advanced Data Science techniques.\nExplore and implement Agentic AI: Develop intelligent agents and multi-agent systems capable of reasoning, planning, interacting with tools and enterprise systems, and executing complex workflows with appropriate human oversight.\nApply rigorous evaluation: Define and implement evaluation methodologies to assess model accuracy, reliability, robustness, and business performance, including specific approaches for evaluating LLM-based and agentic systems.\nBuild, Deploy, and Scale\nTake solutions from concept to production: Lead the technical development of AI solutions, from exploratory analysis, prototyping, and experimentation to deployment and integration into enterprise environments.\nApply MLOps and LLMOps practices: Collaborate with engineering and platform teams to establish reproducible, maintainable, and scalable AI solutions, incorporating versioning, automated testing, monitoring, and continuous improvement.\nEmbrace AgentOps practices: Contribute to the evaluation, observability, and continuous improvement of agentic AI systems, monitoring agent behavior, tool interactions, reliability, and end-to-end process performance, while supporting responsible autonomy and human oversight.\nWork with modern AI technologies: Leverage Python, leading Machine Learning and Deep Learning frameworks, cloud AI platforms, and emerging GenAI and agentic frameworks, selecting the most appropriate technologies for each use case.\nBuild responsible and trustworthy AI: Incorporate security, privacy, explainability, governance, and responsible AI principles throughout the solution lifecycle.\nCollaborate, Lead, and Inspire\nCollaborate across disciplines: Work alongside AI architects, software engineers, data engineers, domain experts, and business stakeholders to design integrated, production-ready AI solutions.\nProvide technical leadership: Contribute to architectural and technical decisions, promote engineering best practices, and support the development of junior Data Scientists and AI practitioners.\nFoster innovation and knowledge sharing: Stay current with advances in AI research and industry practices, contributing to internal initiatives, technical communities, knowledge sharing, and the development of reusable AI assets.\nEngage with customers: Participate in technical discussions, workshops, demonstrations, and solution design activities, helping clients understand and adopt AI technologies effectively.\nWho You Are\nRequired Skills and Experience\nEducation and professional experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related technical field, combined with solid professional experience in Data Science, Machine Learning, or AI development.\nStrong Data Science and Machine Learning foundations: Proven experience designing, developing, and evaluating Machine Learning models, with a solid understanding of statistical methods, supervised and unsupervised learning, and Deep Learning techniques.\n Generative AI and LLMs: Hands-on experience developing AI solutions leveraging Large Language Models, prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG), with an understanding of their capabilities, limitations, and evaluation methodologies.\nAgentic AI development: Practical knowledge of AI agents and agentic architectures, including tool integration, orchestration, reasoning workflows, and the use of agentic development frameworks.\nProgramming and AI frameworks: Strong proficiency in Python and relevant Data Science and AI libraries, such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent technologies.\nAI solution lifecycle: Experience across the AI development lifecycle, including data preparation, experimentation, model evaluation, deployment, and monitoring, with familiarity with MLOps, LLMOps, and emerging AgentOps practices.\nAnalytical and problem-solving skills: Strong analytical thinking, the ability to translate business challenges into technical AI solutions, and a practical approach to experimentation and continuous improvement.\nCollaboration and communication: Ability to work independently and collaboratively within multidisciplinary teams, communicate technical concepts effectively, and engage with business and technical stakeholders.\nPreferred Skills and Experience\nAdvanced Agentic AI: Hands-on experience designing and implementing complex agentic workflows or multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent technologies.\nAgentOps and AI evaluation: Familiarity with agent observability, tracing, evaluation frameworks, LLM-as-a-Judge approaches, and reliability assessment of agentic systems, including tools such as Langfuse, LangSmith, RAGAS, or DeepEval.\nAdvanced Generative AI: Experience with LLM fine-tuning, model optimization, advanced RAG architectures, or open-source foundation models.\nCloud AI platforms: Experience with Azure AI, AWS, or Google Cloud AI/ML services. Relevant certifications are considered an advantage.\nProduction AI engineering: Experience deploying AI applications in enterprise environments, including APIs, containerization, microservices, CI/CD pipelines, and scalable architectures.\nResponsible AI: Knowledge of AI governance, model explainability, security, privacy, and responsible AI practices.\nEnterprise AI projects: Previous involvement in AI-driven digital transformation initiatives, enterprise automation, or the development of AI-powered business solutions.\nResearch and technical contributions: A Master's degree, PhD, scientific publications, open-source contributions, or active participation in technical and research communities will be considered an advantage.\nBeing You\nThe “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.\nWhat You Can Expect\nYour career with us isn’t just a job-it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best. \nFrom your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute-you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.\nWe’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. \nWe want you to thrive here-and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.\nGet Referred!\nIf you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.","description_format":"text","description_chars":10812,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Infrastructure & Networking Services","Systems Integrators","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-11-04T00:19:40Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/kyndryl-data-scientist-agentic-ai-2","json_url":"https://alion.io/job/kyndryl-data-scientist-agentic-ai-2.json","meta":{"generated_at":"2026-11-04T13:40:27Z","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":20633,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":91},"rest":"https://alion.io/mcp/rest/get_company?id=91"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkyndryl-data-scientist-agentic-ai-2"},{"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%2Fkyndryl-data-scientist-agentic-ai-2"},{"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%2Fkyndryl-data-scientist-agentic-ai-2"},{"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/kyndryl-data-scientist-agentic-ai-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkyndryl-data-scientist-agentic-ai-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3714191}},{"tool":"search_jobs","arguments":{"company":"kyndryl.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3714191},"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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