Data Scientists

About Us 

At DataLeaps, we believe engineering is human 💡 — we build with data to remove friction, accelerate innovation, and make people’s lives easier. 
We work across data platforms, applied AI/ML, and data strategy & governance — challenging, experimenting, and turning ambitious ideas into reality. 

You’ll join a passionate, smart, and slightly geeky team 🤓 that values curiosity, collaboration, and continuous learning — without the corporate fluff. 

The Role 

We’re looking for a Data Scientist who thrives in dynamic, data-rich environments. 
You’ll explore complex datasets, design and deploy models, and collaborate closely with engineers and business stakeholders to drive meaningful insights. 
This role involves working with large-scale data environments and leveraging Google Cloud Platform (GCP) to turn data into impact ☁️. 

What You’ll Do 

• Collaborate with stakeholders to translate business questions into data science problems. 

• Explore, clean, and analyse large datasets to uncover insights and opportunities. 

• Design, build, and deploy predictive models and analytical frameworks (e.g. customer behaviour, operations optimisation). 

• Work closely with data engineers to ensure models and pipelines are scalable and production-ready. 

• Implement and maintain solutions in GCP (BigQuery, Dataflow, Vertex AI, etc.). 

• Build clear visualisations and dashboards to make data stories accessible to all audiences. 

• Establish best practices in model governance, testing, and monitoring. 

• Stay up to date with the latest in data science, ML, and cloud technologies — and bring fresh ideas to the table. 

What We Offer 

• A friendly, human-centered team where innovation meets practicality. 

• Exciting and impactful data projects with real business value. 

• Continuous learning culture and freedom to experiment. 

• Flexible working setup — office, hybrid, or remote within the Netherlands. 

• Competitive salary or freelance rate (depending on experience). 

What You Bring 

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Engineering, or related field. 

• 3+ years of hands-on experience as a Data Scientist or similar. 

• Strong Python (and/or R) skills — with experience in libraries like scikit-learn, TensorFlow, or PyTorch. 

• Proven experience with data environments — pipelines, data lakes, multiple sources, and large-scale analytics. 

• Solid working knowledge of GCP (BigQuery, Dataflow, Vertex AI, Cloud Storage, etc.). 

• Strong analytical and statistical modelling skills (classification, regression, clustering, time-series, etc.). 

• Excellent communication — you can make complex things sound simple. 

• A proactive, curious, and independent mindset — especially valuable if freelancing. 

• Fluency in English (Dutch is a plus 🇳🇱). 

Nice to Have 

• Experience in retail, e-commerce, or consumer analytics. 

• Knowledge of MLOps, CI/CD, or model monitoring in production. 

• Experience with streaming data (Pub/Sub, Dataflow, Kafka). 

• Familiarity with BI tools (Looker, Tableau, Power BI). 

• Understanding of data governance and data quality frameworks.