Senior Data Scientist - Predictive Models

Sector: Banking

Location: Brussels

Contract length: 14 months

Estimated daily rate (EUR): 620 - 740

Languages: English · Dutch or French

Estimated daily rates are Rivant market estimates for guidance — not a client rate card.

Role details

Start date: 2026-10-26

Duration: 14 months

Extension possible: Not specified

Education: Master's degree or higher in a quantitative field (statistics, mathematics, computer science), or equivalent substantial data-science experience

Location detail: Brussels (5 min walk from Central Station) - 50% on site / 50% homeworking. Remote/telework from Belgium only

About the role

A major Belgian bank in Brussels needs a Senior Data Scientist on the Predictive Models team. You build and deploy responsible AI models that make customer and employee campaigns more relevant — capturing business needs, designing experiments, and turning model output into clear advice for business owners.

Responsibilities

  • Build responsible AI models that improve campaign reach and relevance
  • Design feasibility analyses, target-group models and impact tests with business stakeholders
  • Deliver customer-journey and next-best-action models for marketing campaigns
  • Operationalize LLM classification, RAG and summarization pipelines with guardrails
  • Track experiments and promote models via MLflow / CI-CD
  • Advise business owners on how to use model outputs in live campaigns

Business experience

SkillLevelPriority
Capture business needs for marketing / customer-journey campaigns and advise on model usageNot specifiedMandatory
Customer journey modeling (e.g. next best action) for campaign targetingNot specifiedMandatory
Present technical concepts as clear, actionable insights to non-technical stakeholdersNot specifiedMandatory

Functional experience

SkillLevelPriority
At least 5 years of relevant data-science experience≥5 yearsMandatory
Build pipelines that clean/structure web analytics and use LLMs to detect customer intentNot specifiedMandatory
Develop and deploy automated summarization models (LLMs or traditional NLP)Not specifiedMandatory
Monitor and deploy AI models in production with responsible-AI guidelines (e.g. explainability)Not specifiedMandatory

Technical experience

SkillLevelPriority
Expert Python data-science stack (scikit-learn, transformers, PyTorch, TensorFlow)Not specifiedMandatory
Fine-tune, evaluate and operationalize LLMs and embedding models for production marketing useNot specifiedMandatory
Statistical methods, experiment design, traditional ML and deep learningNot specifiedMandatory
LLMs for text classification, RAG, interpretability, guardrails and validationNot specifiedMandatory
MLflow for experiment tracking, model versioning and CI/CD in AI/ML workflowsNot specifiedMandatory
git, bash and SQLNot specifiedMandatory
Active learning, uplift modeling, Marketing Mix Modeling / optimization under constraintsNot specifiedPreferable
SAS and StreamlitNot specifiedPreferable

Language requirements

English · Dutch or French

LanguageSpeakingReadingWritingMandatory
EnglishFluentFluentFluentYes
DutchFluentFluentFluentNo
FrenchFluentFluentFluentNo

Soft skills

  • Take ownership and drive projects end-to-end with minimal guidance
  • Translate data insights into actionable business recommendations
  • Clear, concise communication with business owners
  • Team player; proactive and result-driven; analytical problem-solving

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