Machine Learning Specialist

EXL; Estado de México; Hybrid; MXN 700,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

EXL is seeking a Data Scientist to develop advanced analytics and graph-based intelligence solutions for business and risk use cases. The role involves designing knowledge graph models, applying data mining techniques, and building end-to-end data pipelines, collaborating with engineering teams and stakeholders.

Requirements include 5+ years in data science, strong Python, statistics, and ML skills, plus experience with knowledge graphs and unstructured data.

Qualifications

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

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.

Skills

Python

Statistics

Machine learning

English (B2/C1)

Graph knowledge

Tools

Neo4j

NLP

MLOps

Job description

Title: Data Scientist

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