Senior Data Scientist

EXL · Mexico City

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.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

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.

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