Job-ID: 1ffe3d27-c14d-405f- ee3f4b8200Reference: a2c86299-6c -b26f-9d1aaf075f13Team: Product ManagementLocation: United Kingdom, Spain, Portugal, Italy, Greece, Turkey, GermanySalary: $30,000

Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta posibilidad? Descúbralo a continuación.
- $100,000 USDEmployment type: Full-timePosted: Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams.

Our vision is to unlock global opportunity for every person, team, and business.

Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform.

With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities.

We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy.

In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.



Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator.

At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives.

With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. SummaryThis Applied AI Engineering Lead/ AI Lead will lead a high-performing team of data scientists, leveraging advanced analytics and machine learning techniques to drive key business decisions.

You will be responsible for overseeing data-driven projects, collaborating with cross-functional teams, and mentoring junior data scientists.

This role plays a key part in enhancing Deel's data capabilities and advancing data science initiatives that support the company's growth.

ResponsibilitiesLead and manage a team of data scientists to deliver high-impact data models, algorithms, and insights for various business units.





Develop and execute data science projects, ensuring alignment with business objectives and timely delivery.

Guide the team in applying machine learning techniques to solve complex business problems and improve decision-making.

Collaborate with engineering and product teams to ensure seamless deployment of data models and analytics into production.

Mentor and coach junior data scientists, fostering growth and development within the team.

Develop and maintain best practices for data science workflows, ensuring high standards of reproducibility and reliability.

Drive innovation by staying updated on industry trends and emerging technologies in data science.

Ensure the integrity, accuracy, and scalability of data models and analyses.

Communicate data insights and model outcomes to non-technical stakeholders, including leadership teams. Oversee the continuous improvement of data processes, methodologies, and tools within the team.

Qualifications5+ years of experience in data science, with a strong background in machine learning, statistics, and data modeling.

Strong expertise in LLM engineering: RAG, agents and tool use, fine-tuning, evals, and optimising cost and latency in production (routing, serving).Fluent with AI-assisted development tools (e.g.

Claude Code, Cursor) and able to build team practices that let them ship faster without lowering quality.2+ years of experience leading or managing a data science team.

Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing (e.g., Spark).So

📌 Applied AI Engineering, Lead (Madrid)
🏢 Deel
📍 Madrid