Data Scientist Team Lead
Pubblicato il 16-09-2026 - Team.Blue in Firenze
Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60 successful brands make up the group; with a team of more than 3000 experts serving its 3.5 million customers across Europe and beyond.
team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
Position Overview
We are looking for an experienced Data Science Lead to join our Data &
- Analytics team. In this role you will lead a team of two data scientists while staying hands-on in delivery yourself. You will bring not only technical expertise but also a deep understanding of business operations and strategy. The work you and your team produce will directly influence decision-making and help shape the future of our organization through actionable insights drawn from complex datasets.
As a Data Science Lead, you will set the direction and priorities for the team, coach your data scientists in their technical and professional growth, and personally own the most complex projects end to end. You will collaborate with cross-functional teams, including business leaders, product managers, and engineers, to design and implement data-driven solutions that align with the company’s goals, translating complex data into business value through machine learning, predictive modeling, and statistical analysis.
This is deliberately a hybrid role. We are not looking for someone who only directs work: you will spend a meaningful share of your time building models, writing code and reviewing your team’s output, and you should want to keep it that way.
Key Responsibilities
- Team Leadership &
- Development: Lead, coach and grow a team of two data scientists — setting objectives, holding regular one-to-ones, giving feedback, and actively supporting their technical and career development.
- Hands-on Delivery:
Stay personally involved in delivery, owning the most complex or business-critical projects end to end and setting the technical standard for the team through code reviews and pairing.
- Planning &
- Prioritisation: Manage the team’s backlog and capacity, balance competing stakeholder requests, and make sure work is delivered at a predictable pace and quality.
- Business Insight Development: Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives.
- Data Strategy: Own the data science roadmap together with leadership, defining priorities based on business needs and opportunities, and translating them into a concrete plan for your team.
- Predictive Modeling &
- Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes.
- Data Analysis &
- Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non-technical stakeholders.
- Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs.
- Cross-functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements.
- Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team’s capabilities.
Requirements
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 5 years of experience in data science, including at least 3 years in a data science lead, team lead or equivalent leadership position, with a proven track record of solving complex business problems using data.
- Proven Leadership Experience: Demonstrable experience line-managing and developing data scientists. You can point to concrete examples of people you have hired, coached or grown, and of teams you have led through delivery.
- Hands-on Credibility: You are still actively building — comfortable writing production-quality code, reviewing your team’s work, and being the person others come to when a problem is genuinely hard.
- Stakeholder Management: Experience representing a data science team to senior stakeholders: setting expectations, saying no when needed, and defending the team’s priorities.
- Strong understanding of business operations and the ability to align data science projects with business objectives.
- Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels.
- Problem-solving: Strong analytical thinking with the ability to handle complex and unstructured data.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).
- Experience with SQL and working with large data sets.
- Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark).).
"Come as you are"
Everyone is welcome here. Diversity &
- Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.
ESG
"At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”
The most trusted digital enabler team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.
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