About the roleJoin our fast-growing Integral Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey.In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll architect and implement cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.What you will doLead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilitiesArchitect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scaleDesign and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systemsDesign and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external toolsBuild user profiling and personalization models to deliver tailored chatbot experiencesBe accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoptionTake ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusabilityLeverage internal and external data to understand client's company-level priorities and deliver targeted supportCollaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectivesPitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositionsStay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI,



and agentic systemsCollaborate with engineering and product teams to launch MVPs and iterate quicklyIndependently plan and drive complex data science projects that deliver measurable business valueMentor junior data scientists on chatbot development, LLM applications, and best practicesWhat you will need6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impactMaster's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) requiredStrong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadershipWorking experience in some of the following data science areas:Large Language Models (LLMs) and Generative AIConversational AI, chatbot development, and dialogue systemsNatural Language Processing and text miningSearch and Recommendation systems - nice to havePrompt engineering, LLM fine-tuning, and model optimizationAI agent architectures and orchestrationStrong familiarity with Model Context Protocol (MCP) and building tools for AI agentsDeep understanding of Lean product principles, software development lifecycle, and machine learning life cyclePractical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systemsExperience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scriptingExperience with cloud computing services such as AWS or Azure MLStrong ability to work collaboratively across product,



data science and technical stakeholders with experience mentoring data scientistsAbility to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zoneBias for action and client outcome orientedWhat you will get:Competitive compensation25 days annual holiday and an additional day off for your birthday.Private Medical and Dental Care.Childcare Vouchers (Ticket Guarderia).Relocation Assistance - a specialist to help you with all the appointments and paperwork.Hybrid Work Environment - enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.Fresh fruit, snacks, selection of teas, fair trade organic coffee.Please Note:

- Applications must be submitted in English.
- A valid EU visa/passport is required for this position. are we? NYSE:IT), we guide the leaders who shape the world.Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. How far you go is driven by your passion and performance.We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. Gartner is the world authority on AIAt Gartner, you’ll join a company at the very center of the AI revolution. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability.

SummaryLocation: BarcelonaType: Full time

📌 Data Science Data Science Data Scientist (Remote) (Cataluña)
🏢 Gartner
📍 Cataluña