Senior Data Scientist II

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master's or PhD in Computer Science, Data Science, AI, or related fields., Over 5 years of experience in data science, machine learning, or AI., Proficiency in Python and data science libraries like TensorFlow or PyTorch., Experience with generative AI models and prompt engineering for language models..

Key responsibilities:

  • Research emerging AI technologies and evaluate their business feasibility.
  • Design and conduct proof of concept experiments for innovative solutions.
  • Develop prototypes to validate technical solutions based on business needs.
  • Collaborate with engineering teams and vendors to implement AI solutions.

LexisNexis Risk Solutions logo
LexisNexis Risk Solutions XLarge https://risk.lexisnexis.com/
10001 Employees
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Job description

Are you passionate about working in an agile team to drive AI content automation initiatives?

Do you thrive in a collaborative environment where you can work closely with crossfunctional teams to develop innovative data solutions?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of informationbased analytics and decision tools for professional and business customers. Our company has been a longtime leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multimodel approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About the Role

The role is crucial for advancing the teams AI POC research and development efforts. Conducting research on AIrelated projects, such as using large language models to generate highquality documents. Designing experiments to test and validate AI models and solutions.

Responsibilities

  • Research capabilities and limitations of emerging AI technologies (such as multimodal large language models, generative AI, etc.) and evaluate their feasibility in business scenarios.

  • Design and implement proof of concept (PoC) experiments to explore innovative solutions.

  • Develop rapid prototypes based on business requirements to validate the effectiveness of technical solutions.

  • Optimize model performance to enhance the flexibility and scalability of solutions.

  • Collaborate with engineering teams and vendors to drive implementation and delivery of technical solutions.

  • Provide technical guidance and support to team members and partners.

  • Write technical documentation, patent applications, and academic publications to enhance the teams technical influence.

  • Share research findings internally and externally to promote technical innovation.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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