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Salary
≈ $32k – $72k per year (Estimated)
Location
Hybrid (Mexico City, Mexico)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 29, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

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

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: Flexible / Hybrid - 2 days on-site at Tecnoparque / Toluca.

English proficiency is required for all roles.

Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines. Implement work management trackers, define roles & responsibilities of team members and roll out a work allocation / delivery plan to track completion

Work with onshore managers to agree on scope of work, key stakeholders, escalation matrices, project milestones & timelines

Design & Implement management information systems (MIS) for periodic status updates and to identify trends around business processes identified as high on risk / low on controls

Drive a culture of Risk and Governance across business processes. Institutionalize ethos of continuous improvement in risk management across all processes and sub processes in scope. Champion customer service to ensure that compliance is integrated in business processes

Demonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and services Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.

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