Machine Learning Specialist

EXL; Estado de México; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

EXL is seeking a Senior Data Scientist to develop advanced analytics and graph-based intelligence solutions for business and risk use cases in Mexico. You will design knowledge graph models, apply data mining, and collaborate with engineering to deliver graph services.

You will build data pipelines, ensure data quality and governance, and communicate findings to both technical and non-technical stakeholders. English proficiency required; hybrid work in CDMX or Toluca.

Qualifications

• 5+ years in data science or advanced analytics.
• Professional working level English (B2/C1).
• Experience with knowledge graphs and semantic modeling.
• Strong Python skills for analytics, modeling, and experimentation.
• Solid foundation in statistics and machine learning.
• Experience with high-volume or unstructured data.

Responsibilities

• Design and implement knowledge graph models and semantic structures.
• Apply data mining 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.

Skills

Python

Knowledge graphs

Statistics

Machine learning

Data wrangling

Tools

Neo4j

Job description

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