Senior Data Scientist in the Anti Fraud Team at Prima, improving fraud detection across UK and Spain.
About the role
- Data Scientist at Mundiale focused on improving brand-consumer interactions using advanced technology. Collaborate with engineers and product teams in analytical solutions and predictive models.
Responsibilities
- Translate technical results into clear, actionable business insights.
- Conduct systematic experiments and evaluate model performance using appropriate metrics.
- Apply data augmentation and balancing techniques to optimize model generalization.
- Create visualizations and statistical analyses (distributions, co-occurrences, n-grams, embeddings).
- Collaborate with Machine Learning engineers and product teams to prototype analytical solutions and predictive models.
Requirements
- Strong educational background in Statistics, Data Science, or a related field.
- Experience with supervised and unsupervised modeling.
- Knowledge of applied NLP and semantic representation techniques (embeddings, vectorization, dimensionality reduction).
- Familiarity with LLMs and RAG architectures.
- Experience with Python, Pandas, Scikit-learn, and visualization libraries (Matplotlib, Seaborn, Plotly).
- Preferred qualifications:
- Experience with experimentation and prototyping of PoCs (proofs of concept).
- Knowledge of model deployment and versioning frameworks (MLflow, Kubeflow, etc.).
- Interest in applied AI for products and automation of conversational flows.
Benefits
- Flexible Benefit (choose how to use it according to your needs: culture, transportation app, subscriptions, gym, meals, etc.)
- Unimed Unipart Health Plan
- Career development track
- Hybrid work
- Day Off
- Short Friday
- Collaborative and dynamic work environment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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