Synthomer is looking for a Data Scientist to convert data into business value. You will join the new Digital Centre of Excellence and work on innovation in the areas of data, analytics and artificial intelligence.
Your impact
As a Data Scientist you transform data into usable insights, develop advanced analytical solutions and help shape Synthomer's next generation of digital capabilities. You work with Data Engineers, Data Translators and business stakeholders on end-to-end solutions that create measurable value.
What you will do
- Explore, prepare and refine datasets for advanced analytics and machine learning.
- Perform 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 maximise model performance.
- Communicate insights through visualisations, presentations and dashboards.
- Deploy machine learning models and monitor performance in production environments.
- Support and encourage the use of AI, advanced analytics and data-driven decision-making within the organisation.
What we are 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 with cloud-based analytics platforms.
- Strong communication skills and the ability to explain complex insights to business stakeholders.
- A curious mindset and a passion for innovation and continuous learning.
Why join Synthomer?
- 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 in manufacturing, commercial, operational and corporate functions.
- The flexibility of a home-based role.
- Contribute to the future of digital innovation at a leading global specialty chemicals company.
Location
Home-based (Netherlands, Belgium or United Kingdom).
Type: Full-time