Lead AI Scientist – Fraud & Identity (LLMs, ML)

Lexis Nexis; Greater London; Hybrid; GBP 80,000 - 130,000; Full time

Job summary

A global data analytics leader seeks a Principal Data Scientist to drive AI capabilities in fraud prevention and identity verification. This role focuses on developing advanced machine learning models and leading initiatives that impact millions of identity checks daily. Collaboration with engineering and product teams is key, requiring strong programming and communication skills. Candidates should hold a Master's or PhD in relevant fields, with over 8 years of experience in ML and deep learning tools. Key responsibilities include mentoring fellow data scientists and shaping the strategic direction of AI initiatives.

Benefits

Autonomy to explore new ideas

Resources to bring ideas to life

Opportunity to influence AI transformation

Qualifications

• 8+ years of experience in designing, training, and evaluating Deep Learning and Machine Learning models.
• Strong programming skills in Python, including data processing, analysis, and visualization.
• Experience with SQL for data exploration and preparation.

Responsibilities

• Lead the research and productionization of new AI and ML features across the product portfolio.
• Collaborate with Product Managers and Engineering teams to deliver impactful enhancements.
• Mentor and support other data scientists, fostering technical excellence.

Skills

Deep Learning

Machine Learning

Python programming

Natural Language Processing (NLP)

SQL

Cloud platforms

Education

Master’s degree or PhD in Computer Science, AI, or related field

Degree from a leading Engineering School

Tools

PyTorch

TensorFlow

scikit-learn

HuggingFace

Docker

Kubernetes

Job description

A global data analytics leader seeks a Principal Data Scientist to drive AI capabilities in fraud prevention and identity verification. This role focuses on developing advanced machine learning models and leading initiatives that impact millions of identity checks daily. Collaboration with engineering and product teams is key, requiring strong programming and communication skills. Candidates should hold a Master's or PhD in relevant fields, with over 8 years of experience in ML and deep learning tools. Key responsibilities include mentoring fellow data scientists and shaping the strategic direction of AI initiatives.