What to Expect

As a Data Scientist at Hyperson, you help companies turn customer data into measurable business impact. After onboarding, you join one or more client projects where we build advanced analytics, predictive models, and Generative AI solutions that directly improve customer profitability and customer lifetime value.

You will work in hybrid, high-performing teams with data scientists, AI engineers, and strategy leads. You’ll master modern tools: Python, SQL, vector databases, cloud platforms, experiment frameworks, and the latest GenAI stack (LLMs, RAG, fine-tuning, agents, orchestration).

You will be coached by senior Hyperson leaders and given the space to develop fast. You’ll learn how to run full end-to-end processes, from data ingestion and modelling to deploying pipelines and validating real business uplift. You’ll also get exposure to clients, developing your consulting and communication skills in parallel with your technical expertise.

Most importantly: your work will be visible. You will see your models driving real decisions, from personalised marketing to churn prevention, pricing optimisation and next-generation GenAI assistants.

Over time, you can grow into various tracks: predictive modelling expert, generative AI engineer, analytics consultant, AI product owner, or even into commercial or leadership roles. At Hyperson, your career evolves as fast as AI does.

Your Mission

You love diving into large datasets and discovering value others haven’t seen yet. You enjoy testing hypotheses, finding patterns, building models, and turning complexity into clarity.

You translate customer behaviour into predictions, segments, actions, and measurable outcomes. You design experiments, track impact, and iterate continuously.

You collaborate closely with marketers, product teams, and business stakeholders, helping them understand what the data says and what they should do next. You think in CLV, uplift, customer equity and business impact, not in isolated metrics or dashboards.

You combine classical data science with the newest innovations in Generative AI: retrieval-augmented generation, agentic workflows, domain-specific LLMs, and automated analytics. Your goal is always the same: deliver insight, drive action, and improve customer value.

Required Skills

Analytical mindset

• Strong problem-solving skills and the ability to turn complex data into actionable insights.

Technical expertise

• Solid knowledge of statistics and predictive modelling
• Proficiency in Python (and/or R)
• SQL skills for data extraction and transformation
• Experience building and validating machine learning models

Generative AI readiness

• Understanding of LLM behaviour, prompting, evaluation and guardrails
• Interest in RAG systems, embeddings and vector databases

Business & communication

• Strong business acumen, especially around customer behaviour, marketing and sales
• Ability to explain complex concepts clearly to non-technical audiences
• Comfortable working in cross-functional teams

Team-first mindset

• You collaborate easily and thrive in a fast-paced, learning-oriented environment.

Desired Skills

• Advanced AI & Engineering
• Experience with TensorFlow, PyTorch or similar ML frameworks
• Working knowledge of retrieval-augmented generation (RAG), fine-tuning or LLMOps
• Feature engineering, data augmentation, and model evaluation at scale
• Familiarity with cloud platforms (Azure, AWS, GCP)
• Experience with deployment technologies (Docker, Kubernetes)
• Knowledge of BI/visualisation tools (Power BI, Tableau) is a plus

Your Profile

• Master’s degree in engineering, mathematics, computer science, or a quantitative field
• Curious, hands-on, eager to experiment and willing to challenge assumptions
• Strong customer orientation and drive for measurable results
• Eligible to work in the EU
• Passionate about both predictive AI and Generative AI technologies

Our Offer

• A fast-growing environment where you help shape the future of AI-driven customer profitability
• Personal training budget to invest in your technical or soft skill development
• Close coaching from senior experts in data science and AI strategy
• Challenging, meaningful projects with leading companies in Belgium and beyond
• A hybrid way of working: client sites (usually Antwerp, Brussels or Ghent), home office, or our Brussels HQ
• A strong compensation package: competitive salary, fringe benefits, meal vouchers, phone subscription, and more
• A high-end company car with fuel card, or a mobility package
• The ambition and momentum of a start-up combined with the stability of an experienced team