Client-Facing Data Scientist: AI, ML & Strategy

L.E.K. Consulting

New York (NY)

Hybrid

USD 110,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)

Job summary

L.E.K. Consulting in the United States seeks a Data Scientist to join our Data, Digital, and AI practice. You will build ML models and analytical apps, working with clients across industries to drive measurable outcomes.

Ideal candidates have hands-on ML/deployment experience, fluency in Python, SQL, and cloud platforms, and thrive in a fast-paced, collaborative consulting environment with ownership and continuous learning.

Qualifications

  • Degree in a quantitative and/or business discipline preferred.
  • 2+ years of applied data science with ML, statistics, and analysis.
  • Fluency in Python with data science libraries, SQL, and Spark.
  • Experience deploying ML models in cloud environments (AWS/Azure/GCP).
  • Experience with MLOps: CI/CD, model versioning, monitoring.
  • Exposure to agentic AI and LangChain is a plus.

Responsibilities

  • Support end-to-end data science projects from concept to deployment in client environments.
  • Deploy advanced ML models in clients' cloud environments, focusing on scalability and reliability.
  • Translate results into measurable business insights and client recommendations.
  • Develop analytical apps using modern ML algorithms to solve complex problems.
  • Collaborate with data scientists, consultants, and client teams to deliver impact.

Skills

Python
Machine Learning
SQL
NLP
Cloud Platforms
MLOps
LangChain
Data Wrangling
Excel
Communication

Education

Degree in Statistics / CS / Data Science

Tools

Spark
TensorFlow
PyTorch
scikit-learn
Kubernetes
Airflow

Job description

L.E.K. Consulting in the United States seeks a Data Scientist to join our Data, Digital, and AI practice. You will build ML models and analytical apps, working with clients across industries to drive measurable outcomes.

Ideal candidates have hands-on ML/deployment experience, fluency in Python, SQL, and cloud platforms, and thrive in a fast-paced, collaborative consulting environment with ownership and continuous learning.

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