Senior Data Scientist Ii

RELX

Alpharetta, GA, United States
Base: $104,900 - $174,700; bonus/equity: annual in...
Machine learning model development
Python and/or r programming
Cloud environments aws and azure
The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions

Job Summary

  • The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions.
  • You’ll join a collaborative, high-impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production-ready insights.
  • We offer a comprehensive benefits package including medical insurance, life assurance, flexible working arrangements, and access to learning and development resources.

Matching Summary

The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions.

Salary

Base: $104,900 - $174,700; Bonus/Equity: Annual incentive bonus eligible; Benefits: Medical insurance, life assurance, flexible benefits plan, employee assistance program

Skills & Requirements

Must-have

  • Machine learning model development
  • Python and/or R programming
  • Cloud environments AWS and Azure
  • Data science and AI workloads
  • SQL and relational/cloud data platforms
  • Operationalizing AI models in production
  • Healthcare domain expertise

Nice-to-have

  • Collaboration with engineering and product teams
  • Communicating technical ideas to non-technical audiences
  • Participation in code reviews and design discussions
  • Experience with large language models and retrieval-augmented workflows
  • Software engineering best practices for data science

Key Requirements

  • Proven data science experience
  • Master’s or Doctoral degree in related discipline
  • Experience with predictive and machine learning models
  • Experience evaluating model performance with appropriate metrics
  • Experience working with structured and unstructured data at scale
  • Experience training and fine-tuning neural network models
  • Ability to independently execute complex analytical projects

Work Rights

Not specified

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