Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.

With a highly skilled team of over 260 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.

Take a look at our Handbook to discover our core values and processes.

💰RAL: €62K – €78K + €4K bonus pack

💼The opportunity:

We are looking for a Data Scientist IV with deep expertise in Generative AI and a strategic, forward-thinking mindset.
This senior-level role goes beyond individual project execution, focusing on shaping technical vision, advising multiple teams, and engaging with high-impact stakeholders across the organization.

💻Responsibilities:

• Defining and driving the technical vision and strategy for Generative AI initiatives across projects and teams.

• Acting as a senior technical authority on GenAI system design, agentic architectures, observability, and production readiness.

• Advising multiple teams on architectural decisions, trade-offs, and best practices for ML and GenAI solutions.

• Overseeing the design and evolution of scalable, secure, and maintainable AI platforms.

• Leading and supporting pre-sales and client-facing activities: Conducting technical discovery and solution design; Assessing feasibility and analyzing risks; Contributing to proposals and delivering technical presentations.

• Managing stakeholders effectively in complex and ambiguous environments.

• Mentoring both senior and junior team members, fostering technical excellence and leadership development.

• Collaborating with leadership to evolve processes, standards, and organizational capabilities.

• Anticipating technological trends and identifying opportunities for innovation and continuous improvement.

🛠️ Requirements:

• Bachelor’s degree in Computer Engineering, Computer Science, or a related field.

• 6+ years of experience as a Data Scientist or Machine Learning Engineer.

• Extensive, proven experience in delivering and leading Generative AI projects.

• Strong expertise in: GenAI system design; Agentic AI patterns; Model serving and observability in production environments.

• Deep specialization in at least one of the following Data Science domains: Machine Learning; Deep Learning; Time Series Analysis and Forecasting; Optimization; Causal Machine Learning; Computer Vision.

• Solid foundational knowledge of the broader Data Science landscape.

• Strategic mindset with the ability to define long-term technical direction.

• Proven experience in multi-team advisory roles.

• Excellent stakeholder management and communication skills, including experience in executive-level and high-pressure environments.

• Experience in pre-sales or client-facing technical roles.

• Fluency in Italian and English.

• Strong team collaboration and leadership attitude.

🙌🏻We offer:

• Remote or smart working and work life balance.

• Training monthly budget.

• A structured career path with clear expectations and salary for each level.

• Benefits and corporate welfare programs: meal vouchers, health fund provided, prizes, welcome pack with all the equipment you need to work.

• The opportunity to attend one conference per year.

• Stimulating environment oriented to growth, both professional and personal.

😊 How we work:

• We don't like hierarchies: we work as a team.

• We don't like bureaucracies, we prefer sense of responsibility.

• We like data, certainly, so anything that is measurable.

• We want to make a positive change in our industry.

• Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work.

Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months.

This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.