Lead Data Scientist (AI)

Forsyth Barnes; Farnborough; On-site; GBP 100,000 - 140,000; Full time

Job summary

A forward-thinking company is seeking a visionary Lead Data Scientist (AI) to join their fast-growing insurance startup. In this pivotal role, you'll drive the development of intelligent, data-driven solutions that enhance underwriting, claims processing, and customer personalization through machine learning and advanced analytics. Your expertise will lead the AI strategy, ensuring innovative solutions align with regulatory standards. This is an exciting opportunity to shape the future of insurance with cutting-edge technology and a talented team.

Qualifications

• 6+ years of experience in data science, including leadership roles.
• Proven track record in deploying machine learning models.

Responsibilities

• Lead development and deployment of AI/ML models for underwriting and fraud detection.
• Build and scale a high-performing data science team.

Skills

Machine Learning

Data Science

NLP

Python

SQL

Cloud Platforms (AWS/GCP/Azure)

Job description

Title:Lead Data Scientist (AI)

Industry:Insurance

Location:London

Salary:Upto£140,000

We're seeking a visionary Lead Data Scientist (AI) to join our clients fast-growing insurance startup, and drive the development of intelligent, data-driven solutions across our core products and operations. You'll be at the forefront of our AI strategy, leading initiatives to optimize underwriting, claims processing, risk assessment, and customer personalization using machine learning and advanced analytics.

KeyResponsibilities:

• Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud detection, pricing, and customer experience initiatives.
• Design and implement data science solutions that align with regulatory standards and business objectives.
• Build and scale a high-performing data science team; provide technical mentorship and guidance.
• Collaborate with engineering to ensure smooth integration of AI models into production systems.
• Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation.

KeyRequirements:

• 6+ years of experience in data science, with at least 2 years in a lead or managerial role.
• Proven track record building and deploying machine learning models in real-world environments, preferably within insurance, fintech, or healthtech.
• Strong background in statistics, machine learning, and AI techniques, including deep learning and NLP.
• Proficient in Python, SQL, and cloud-based data platforms (AWS/GCP/Azure).
• Excellent communication skills with the ability to translate complex models into clear business insights.