Data Team Lead/ Lead Data Scientist

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Amsterdam / €70000 - €100000 annum

INFO

Salary

SALARY:

€70000 - €100000

Location

LOCATION

Amsterdam

Job Type
JOB TYPE

Permanent

Data Team Lead / Lead Data Scientist

Amsterdam, Netherlands (Hybrid) | €85,000 - €110,000 including holiday allowance
This is an opportunity to take ownership of a growing data function at a business that has already invested heavily in its data foundations and is now entering the next phase of maturity. You'll combine technical leadership with hands-on delivery, shaping both the platform and the future direction of data products that directly influence commercial performance.

The Company

They are a well-established consumer-focused organisation with a strong digital presence and a growing commitment to data-driven decision making. Following significant investment in their data capabilities, they have built modern foundations and are now looking for someone to lead the next stage of development.

Working in a collaborative environment, you'll partner closely with technology, product, and commercial stakeholders to deliver measurable business impact through analytics, machine learning, and platform innovation.

The Role

As a Data Team Lead / Lead Data Scientist, you will be responsible for driving the evolution of the organisation's data platform while remaining deeply involved in technical delivery.
Key responsibilities include:
  • Taking ownership of the data platform and its ongoing development
  • Leading the design and operation of modern cloud-based data solutions
  • Introducing and improving model lifecycle management, monitoring, and governance practices
  • Building scalable capabilities across analytics, machine learning, and self-service BI
  • Driving initiatives across areas such as recommendation systems, search optimisation, experimentation, and commercial analytics
  • Partnering with product and business stakeholders to define success metrics and prioritise opportunities
  • Supporting the growth and development of the data team
  • Balancing strategic leadership with hands-on technical contributions across data and machine learning projects

Your Skills & Experience

You will bring a blend of platform expertise, machine learning capability, and leadership potential.
Key requirements include:
  • Strong experience designing and operating modern cloud data platforms
  • Hands-on expertise with dbt and data transformation best practices
  • Experience with orchestration tools such as Airflow
  • Strong knowledge of data modelling, including dimensional modelling approaches
  • Experience working with GCP and BigQuery
  • Proven capability deploying machine learning or statistical models into production environments
  • Experience with experimentation frameworks and A/B testing
  • Knowledge of recommendation systems or ranking models
  • Ability to communicate effectively with technical and commercial stakeholders
  • Leadership experience or a demonstrated ability to guide and influence teams
  • Based in the Netherlands or willing to relocate
Desirable experience:
  • E-commerce, marketplace, travel, or other high-volume digital environments
  • Building or scaling data teams and platform capabilities
  • Analytics engineering and self-service BI initiatives
  • Platform architecture and data governance leadership

What They Offer

  • Salary of €85,000 - €110,000 including holiday allowance
  • Hybrid working with approximately two office days per week
  • Sponsorship and relocation support available
  • High levels of ownership and autonomy
  • Opportunity to shape both the data platform and team structure
  • Modern technology stack including GCP, BigQuery, dbt, Airflow, Python, and Tableau
  • Direct exposure to commercially impactful machine learning and analytics projects
  • A clear opportunity to influence strategy while remaining hands-on technically

How to Apply

If you're looking for a Data Team Lead or Lead Data Scientist position where you can combine technical excellence, platform ownership, and team leadership, apply today to discuss the opportunity in confidence.

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