Senior Data Scientist , AI (AskGartner)

Join our fast-growing Global 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 do

Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities

Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale

Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems

Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools

Build user profiling and personalization models to deliver tailored chatbot experiences

Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption

Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability

Leverage internal and external data to understand client's company-level priorities and deliver targeted support

Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives

Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions

Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems

Collaborate with engineering and product teams to launch MVPs and iterate quickly

Independently plan and drive complex data science projects that deliver measurable business value

Mentor junior data scientists on chatbot development, LLM applications, and best practices

What you will need

6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required

Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership

Working experience in some of the following data science areas:

Large Language Models (LLMs) and Generative AI

Conversational AI, chatbot development, and dialogue systems

Natural Language Processing and text mining

Search and Recommendation systems – nice to have

Prompt engineering, LLM fine-tuning, and model optimization

AI agent architectures and orchestration

Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents

Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle

Practical, 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 systems

Experience 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 scripting

Experience with cloud computing services such as AWS or Azure ML

Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists

Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone

Bias for action and client outcome oriented

What you will get:

Competitive compensation

25 days annual holiday and an additional day off for your birthday.

Private Medical and Dental Care.

Life and Disability Insurance.

Public Transport Subsidy.

Ticket Restaurant Card.

Childcare Vouchers (Ticket Guarderia).

IncentiFit - annual reimbursement for health-and-wellness-related activities.

Pension Scheme.

Tuition Reimbursement.

Employee Stock Purchase Plan.

Employee Assistance Program.

Gartner Gives Charity Match.

Relocation Assistance - a specialist to help you with all the appointments and paperwork.

Limitless growth and learning opportunities.

A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.

A chance to make an impact – your work will contribute directly to our strategy.

Hybrid Work Environment - enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.

New offices close to Glòries and the beach in the fantastic, “innovation and tech” 22@ district of sunny Barcelona.

Fresh fruit, snacks, selection of teas, fair trade organic coffee.

And much more!

Please Note:

- Applications must be submitted in English.

- A valid EU visa/passport is required for this position.

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Who are we?

At Gartner, Inc. (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.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.