Why this role is unique
- Shape the intelligence core of a category-defining AI platform. Your work directly influences how the system detects trends, extracts insights, reasons about innovation, and supports strategic decisions.
- A rare opportunity in the Belgian tech scene. Few companies in Belgium—or Europe—are building large-scale AI analytics engines with real NLP pipelines, custom trend scoring, and global enterprise usage.
- Entrepreneurial environment for ambitious builders. This is ideal for people who want to learn what it means to ship data science to production at scale.
- A genuinely cool domain. You'll work with emerging technologies, market shifts, innovation signals, and industry context—helping strategy teams stay ahead.
Our mission
One KPI matters: build and scale the data & analytics engine powering the world’s first AI-driven strategic intelligence platform.
What we’re looking for
- Proven experience as a Data Scientist, ML Engineer, Researcher, or Data Engineer. (PhD is a strong plus.)
- Deep experience with large-scale, messy, real-world datasets.
- Academic-level understanding of NLP, information extraction, text analytics, or semantic modeling.
- Strong proficiency in: Python, MongoDB, Elasticsearch, Kubernetes, Git, RESTful APIs, CI/CD.
- Experience with time series or graph analytics is a plus.
- Ability to simplify complex concepts and communicate clearly with engineering and product teams.
- Fluent in English.
- Ownership mindset — you define goals, prioritize, and deliver.
How you'll contribute
Data Engineering and Pipelines
- Build, maintain, and optimize large-scale data pipelines ingesting, cleaning, enriching, and indexing millions of documents.
- Improve scalability, reliability, and throughput across our Google Cloud + Kubernetes architecture.
- Monitor data flows, automate error handling, and ensure high availability.
NLP, ML and Information Extraction
- Develop and refine algorithms for NLP, topic detection, event extraction, GPE recognition, and entity/organization extraction.
- Experiment with new models and evaluate research ideas on large datasets.
- Collaborate with AI/LLM engineers to integrate model outputs into product features (summaries, insights, narratives).
Research → Product Translation
- Translate research prototypes into production-ready features.
- Prioritize, scope, and execute transferring insights, metrics, and algorithms into Trendtracker.
- Expand Trendtracker’s proprietary trend scoring framework and analytical capabilities.
Data Ops and Performance
- Optimize MongoDB and Elasticsearch queries, indexing strategies, and storage models for performance and scalability.
- Ensure all models and pipelines follow SDLC standards:
- Code reviews
- Automated tests
- CI/CD
- Reproducibility
Mindset and approach
- High-performance, research-driven, product-focused mindset.
- Passion for the intersection of data, AI, research, and product.
- Desire to build something that becomes a global standard.
Working at Trendtracker is…
- Work on one of Europe’s most exciting AI products, built in Ghent.
- Build intelligence engines that shape strategic decisions at global enterprises.
- Collaborate with high-performing engineers, scientists, and product builders.
- Dive into a domain full of innovation, emerging tech, and market signals.
- Join a fast-scaling company where impact happens in days, not months.
- Help build the foundations of a platform defining a new category.