Senior GenAI & Enterprise ML Scientist II

Senior GenAI & Enterprise ML Scientist II

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
LexisNexis

At a Glance

  • Tasks: Lead GenAI and ML projects, designing and deploying innovative AI solutions.
  • Company: Join LexisNexis, a leader in data science and technology.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Collaborative environment with diverse teams and exciting challenges.
  • Why this job: Make a real impact by driving AI innovation across various business domains.
  • Qualifications: Experience in GenAI, NLP, and cloud platforms is essential.

The predicted salary is between 60000 - 80000 £ per year.

LexisNexis is seeking a Senior Data Scientist II to lead GenAI and traditional ML projects across multiple business domains. You will design, build, and deploy AI/ML solutions with end-to-end ownership—from ideation through deployment and monitoring—collaborating with Product, Sales, Finance, Marketing, and Engineering.

The role demands versatility across GenAI, NLP, data engineering, and cloud platforms, with responsibilities spanning data prep, modelling, experimentation, and deployment.

Senior GenAI & Enterprise ML Scientist II employer: LexisNexis

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our comprehensive benefits package and opportunities for professional development, ensuring that you can thrive in your role as Vice President of Strategy, Data Services. Located in a dynamic environment, we empower our team to make impactful decisions that shape the future of data services while enjoying a supportive work atmosphere that values well-being and work-life balance.

LexisNexis

Contact Details:

LexisNexis Recruitment Team

We think you need these skills to ace Senior GenAI & Enterprise ML Scientist II

GenAI
Machine Learning (ML)
Natural Language Processing (NLP)
Data Engineering
Cloud Platforms
Data Preparation
Modelling