Data Scientist - Amsterdam, Netherlands

About MVH Europe

Mars Veterinary Health (MVH) Europe is a family of leading veterinary care providers committed to creating a better world for pets. Our network includes trusted brands such as AniCura and Linnaeus, operating over 500 animal hospitals and clinics across 17 European countries. Together, our teams deliver high‑quality, modern veterinary care for companion animals, ensuring peace of mind for pet owners through excellent access and patient safety.

AniCura, our largest brand in Europe, provides care to over three million patients each year through 12,500 dedicated professionals. Linnaeus, operating primarily in the UK and Ireland, is home to over 6,000 Associates empowered to deliver exceptional care through a culture of collaboration, clinical excellence, and continuous development.

At MVH Europe, we prioritise a culture of accountability, inclusion, and wellbeing. We believe our purpose — to make A BETTER WORLD FOR PETS — starts with building a better world for our people.

Summary of the Role

• Job Title: Data Scientist

• Department: Data & Analytics

• Reports To: Senior Data & Analytics Manager

• Location: Netherlands (preference for Amsterdam), although commutable from Solihull, UK would be considered - Hybrid

• Contract: Full-time

• Languages: Fluent English required

Role Overview

The Data Scientist is a vital member of the Data & Analytics team within MVH Europe, responsible for applying advanced analytical techniques to support veterinary health and business strategies. This role collaborates with diverse stakeholders, including veterinary experts, business leaders, and IT teams, to translate complex data into actionable insights. The Data Scientist contributes to the development and deployment of scalable data science solutions, ensuring alignment with organisational goals and data governance standards, while supporting continuous improvement and innovation across the team.

Key Responsibilities

The Data Scientist works within the MVH Europe Data & Analytics team, collaborating with business stakeholders, data engineers and analysts to deliver data science and analytical solutions that support veterinary health and business strategy. The role focuses on developing and deploying machine learning models, preparing and analysing complex datasets, ensuring data quality and governance, and clearly communicating insights through visualisation.

Key responsibilities include:

• Model Development: Build, test, deploy and maintain predictive and prescriptive models using machine learning, statistical methods, and data mining techniques

• Data Preparation: Clean, transform, and structure complex datasets to enable effective analysis and modelling

• Collaboration: Work closely with business stakeholders, data engineers, and analysts to understand requirements and deliver actionable insights

• Data Visualization: Create clear and compelling visualizations and dashboards to communicate findings and support decision‑making

• Data Quality: Ensure data integrity and accuracy, identifying and addressing data quality issues

• Continuous Learning: Stay updated on emerging data science tools, techniques, and best practices, applying them to improve team capabilities

• Documentation: Maintain clear documentation of models, methodologies, and processes to ensure reproducibility and knowledge sharing

• Compliance: Adhere to best practices in data governance, quality, and ethical use of data in line with Mars policies and Responsible AI principles

Education & Professional Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent professional experience

Experience

• 2–5 years’ experience in data science, machine learning, or statistical modelling

• Proficiency in programming languages such as Python or R, and familiarity with machine learning libraries (e.g. Scikit‑learn, TensorFlow)

• Preference for experience using Git and DevOps ways of working

• Strong analytical and problem‑solving skills with attention to detail

• Experience working with large datasets and data visualisation tools (e.g. Tableau, Power BI)

• Ability to communicate technical concepts effectively to both technical and non‑technical audiences

• Strong written and verbal communication skills, including fluency in English

• Ability to prioritise, multi‑task, and work to tight deadlines

• Demonstrated focus on continuous learning and development of technical and business skills

Key Competencies

• Analytical Thinking

• Collaboration & Influence

• Continuous Improvement

• Customer Focus

• Accountability

• Innovation