Data Scientist

Location: Netherlands - Middelburg, Netherlands - Rotterdam, Belgium - Evergem

Time Type: Full time

Job Description

Synthomer is a leading supplier of high-performance, highly specialised polymers and ingredients that play vital roles in key sectors such as coatings, construction, adhesives, and health and protection – growing markets that serve billions of end users worldwide. Headquartered in London, UK and publicly listed there since 1971, we employ c.3,900 employees across our 5 innovation centres of excellence and more than 29 manufacturing sites across Europe, North America and Asia. Around 20% of our sales volumes are from new and patent protected products.

At our innovation centres of excellence in the UK, Germany, China, Malaysia and Ohio, USA we collaborate closely with our customers to develop new products and enhance existing ones tailored to their needs, with an increasing range of sustainability benefits. Since 2021, we have been proud holders of the London Stock Exchange Green Economy Mark, which recognises green technology businesses making a significant contribution to a more sustainable, low-carbon economy.

Data Scientist

Turn data into business value

Location: Home-based (Netherlands, Belgium or United Kingdom)
Type: Full-time

At Synthomer, were investing in data, analytics, and artificial intelligence to transform how we operate and make decisions. To support this ambition, we are expanding our new Digital Centre of Excellence and are looking for a talented Data Scientist to help drive innovation across the business.

If youre passionate about solving complex problems, building predictive models, and creating tangible business impact through data, wed love to hear from you.

Your impact

As a Data Scientist, youll transform data into actionable insights, develop advanced analytical solutions, and help shape the next generation of digital capabilities at Synthomer. Youll work alongside Data Engineers, Data Translators, and business stakeholders to develop end-to-end solutions that create measurable value.

What youll be doing

• Explore, prepare, and refine datasets for advanced analytics and machine learning.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities.
• Develop predictive and prescriptive models using statistical and machine learning techniques.
• Design feature engineering strategies to maximize model performance.
• Communicate insights through visualizations, presentations, and dashboards.
• Deploy machine learning models and monitor performance in production environments.
• Support and promote the use of AI, advanced analytics, and data-driven decision-making across the organization.

What were looking for

• 2-5 years of experience in Data Science, Analytics, or Machine Learning.
• Strong knowledge of statistics, predictive modelling, and machine learning techniques.
• Proficiency in Python, SQL, Databricks, and Apache Spark.
• Experience working with cloud-based analytics platforms.
• Strong communication skills and the ability to explain complex insights to business stakeholders.
• A curious mindset and passion for innovation and continuous learning.

Why join Synthomer?

• Play a key role in building a world-class Digital Centre of Excellence.
• Work on high-impact AI and advanced analytics projects.
• Collaborate with global teams across manufacturing, commercial, operational, and corporate functions.
• Enjoy the flexibility of a home-based role.
• Help shape the future of digital innovation in a leading global specialty chemicals business.

Are you our new teammember! Were looking forward to hear from you!

🌍 Global Benefits Overview

• 💰 Competitive, market-aligned compensation

• 🎯 Discretionary global bonus scheme

• 📈 Discretionary Long-Term Incentive Plan (LTIP) – for senior positions

• 🚗 Company car or car allowance – varies by region and role

• 🩺 Healthcare – tailored to regional locations

• 👶 Parental leave and family support – maternity, paternity, adoption (aligned with regional policies)

• 🏡 Working options – flexibility where it matters, based on role and business needs

• 📚 Learning & development opportunities – training, online platforms, buddy/mentorship programs, Internal Synthomer University with L&D offers

• 💙 Wellbeing support – employee assistance program (EAP), mental health resources, wellbeing initiatives

• 🌱 Retirement / pension contributions – plans vary by country

• 🤝 Culture of Inclusion – where everyone can thrive

• 🏆 Performance culture, global reward & recognition programmes