Location: Hybrid - 3 days in office in Mexico City (Azcapotzalco) or Toluca

Duration: Full Time

Role Summary:

Develop advanced analytics and graph-based intelligence solutions to uncover patterns, relationships, and actionable insights for business and risk use cases.

Key Responsibilities:

- Design and implement knowledge graph models and semantic structures.

- Apply data mining techniques to detect trends, anomalies, and hidden links.

- Build data preparation, enrichment, and validation pipelines.

- Collaborate with engineering teams to produce models and graph services.

- Communicate findings clearly to technical and non-technical stakeholders.

- Ensure model/data traceability, quality, and governance alignment.

AI Skills for This Role:

- Use LLM-assisted workflows for hypothesis generation and analysis acceleration.

- Apply AI methods for graph reasoning, entity linking, and relationship discovery.

- Evaluate model outputs critically for bias, drift, leakage, and reliability.





- Use AI tools responsibly with strong data privacy and governance practices.

Required Qualifications:

- 5+ years in data science or advanced analytics.

- English proficiency: professional working level or above (B2/C1 preferred).

- Practical experience with knowledge graphs and semantic modeling.

- Strong Python skills for analytics, modeling, and experimentation.

- Solid foundation in statistics and machine learning.

- Experience with complex, high-volume, or unstructured data.

Nice to Have:

- Experience with graph databases (for example Neo4j) and NLP.

- Use cases in fraud, risk, compliance, or operational intelligence.

- Familiarity with MLOps and production model lifecycle management.

Work model: Hybrid - 3 days on-site at Client's offices in Azcapotzalco (CDMX) or in Toluca

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