> Markdown version of [/jobs/ext/4573614-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/4573614-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Harnham Bekijk Alle Vacatures - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Salary:** €7,917.0 - €8,333.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Data Architecture, Python (Programming Language), Machine Learning, Operational Databases, Recommender Systems, Google Cloud, Data Management, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.careerjet.nl/job/nl1d96475917d970823725255d65f65881/eaa ## About the Role You will bring a blend of technical expertise, commercial awareness, and leadership capability. Essential experience: * Strong commercial experience in Data Science and Machine Learning * Hands-on experience developing machine learning models using Python * Experience working with dbt and Apache Airflow * Knowledge of modern cloud-based data platforms and data architecture principles * Experience operationalising machine learning solutions in production environments * Strong understanding of data pipelines, production data layers, and scalable analytics infrastructure * Experience delivering end-to-end projects from problem definition through to implementation * Strong stakeholder management and communication skills * A pragmatic, hands-on approach with the ability to balance strategy and execution * Experience mentoring, leading, or developing data professionals Desirable experience: * Google Cloud Platform (GCP) and BigQuery * AWS or Azure * A/B testing and experimentation frameworks * Recommendation engines, search optimisation, ranking, or personalisation solutions * Consumer-facing digital, e-commerce, marketplace, or travel businesses * Experience scaling data platforms and data teams * Dutch language skills ## Description This is a rare opportunity for a Lead Data Scientist to join a business that has already invested heavily in its data foundations and is now focused on unlocking commercial value through advanced analytics and machine learning. Reporting directly to the CTO, you will have the autonomy to shape strategy, influence decision-making, and build a high-performing data function from the ground up. The Company They are a well-established digital consumer business with a strong market presence and a growing customer base across Europe. Over the past few years, they have invested significantly in modernising their data platform, governance, and delivery processes, creating a strong foundation for future growth. With a modern cloud-based data ecosystem already in place, their focus is now on leveraging data science and machine learning to improve customer experiences, optimise commercial performance, and support smarter business decisions. The Role As Lead Data Scientist, you will combine technical leadership with hands-on delivery in a role that offers significant ownership and visibility across the business. Key responsibilities include: * Defining and executing the data science roadmap, aligning initiatives with business goals and measurable outcomes * Identifying opportunities to apply machine learning and advanced analytics to commercial challenges * Taking ownership of the organisation's modern cloud data platform and ensuring it remains scalable and reliable * Designing, developing, and deploying machine learning solutions into production * Delivering data science use cases such as recommendation systems, personalisation, optimisation, and ranking models * Working closely with senior stakeholders, including the CTO, to prioritise initiatives and translate business requirements into technical solutions * Driving projects from concept through to implementation and measurable business impact * Building and developing a data team, including mentoring existing talent and leading future hiring efforts * Establishing best practices across data science, machine learning, and platform development