Lead Data Scientist, AI & LLM Expert (Paris)

RELX; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global technology and data analytics leader is seeking a Lead Data Scientist to drive AI capabilities within its Fraud, Identity, and Financial Crime Compliance portfolio. The role involves developing and implementing AI features, collaborating with various teams, and shaping the company's long-term AI strategy. Candidates should possess strong skills in Machine Learning, Python programming, and deep learning tools, along with a Master’s or PhD in a relevant field. This position offers the opportunity to make a significant impact on fraud prevention globally.

Benefits

Autonomy to explore new ideas

Resources for bringing ideas to life

Opportunity to influence AI transformation

Qualifications

• 4+ years of experience designing, training, and evaluating ML models.
• Strong communication skills with technical and non-technical teams.
• Ability to work in multicultural and international environments.

Responsibilities

• Contribute to research, prototyping, and deployment of AI features.
• Collaborate with product managers and engineering teams.
• Train and fine-tune LLMs and ML models on diverse data.

Skills

Deep Learning

Machine Learning

Python programming

SQL

Natural Language Processing (NLP)

Cloud platforms

Education

Master's or PhD in Computer Science, Artificial Intelligence, or related field

Tools

PyTorch

TensorFlow

scikit-learn

HuggingFace

Docker

Kubernetes

Job description

A global technology and data analytics leader is seeking a Lead Data Scientist to drive AI capabilities within its Fraud, Identity, and Financial Crime Compliance portfolio. The role involves developing and implementing AI features, collaborating with various teams, and shaping the company's long-term AI strategy. Candidates should possess strong skills in Machine Learning, Python programming, and deep learning tools, along with a Master’s or PhD in a relevant field. This position offers the opportunity to make a significant impact on fraud prevention globally.