Data Scientist I (Remote)

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 160 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: €30K - €40K

The Opportunity:

We are looking for a motivated and proactive Junior Data Scientist to join our team. The ideal candidate has a strong foundation in statistics and classical machine learning or a significant exposure to deep learning, combined with a genuine passion for continuous learning and problem-solving.

In this role, you will have the opportunity to take ownership of well-defined components of data science projects, working with the support of senior colleagues to deliver tangible impact. Familiarity with software engineering practices is considered a strong plus.

Responsibilities:

• Collaborate with the team to analyze business requirements and contribute to designing suitable ML-based solutions;

• Develop and fine-tune models through reproducible experiments, taking ownership of your assigned features from data preparation to evaluation, with guidance from senior team members;

• Contribute to building ML solutions by applying and learning the team's software engineering quality standards and data engineering best practices;

• Proactively research and suggest new tools, libraries, and techniques to improve the team's workflow and model performance;

• Effectively manage assigned tasks and project components, proactively communicating progress, challenges, and dependencies to ensure alignment;

• Participate in monitoring and analyzing the performance of models in production.

️Requirements:

• Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related field;

• Minimum of 6 months of relevant experience (including significant internships, thesis, or university projects) up to 2 years in a similar role;

• Good Knowledge of programming languages including advanced Python patterns;

• Familiarity with git-based workflows;

• Interest in MLOps practices and a desire to learn them;

• Good communication skills, with the ability to clearly explain your work and findings to the technical team;

• Languages: both Italian and English;

• A collaborative spirit and a strong desire to contribute to the team's success.

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;
• Agile Nomads experience: opportunity to work for 2 weeks abroad;
• The opportunity to attend one conference per year;
• Inclusive environment where you can be who you really are;
  
• 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.