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 highquality 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 12500 dedicated professionals. Linnaeus operating primarily in the UK and Ireland is home to over 6000 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 decisionmaking

• 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

• Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related quantitative field or equivalent professional experience

Experience

• 25 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. Scikitlearn TensorFlow)

• Preference for experience using Git and DevOps ways of working

• Strong analytical and problemsolving 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 nontechnical audiences

• Strong written and verbal communication skills including fluency in English

• Ability to prioritise multitask 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