Head of Data Science

JR United Kingdom; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player in the insurance sector is on the lookout for a Head of Data Science to spearhead a dynamic team of data scientists. This role offers a unique chance to shape the data science strategy and lead transformative machine learning projects that align with business objectives. You will collaborate closely with senior stakeholders to advocate for data-driven initiatives and ensure the successful deployment of innovative AI solutions. If you are passionate about leveraging data science to drive business impact and have a proven track record in team leadership, this opportunity is tailored for you.

Qualifications

• Proven experience in leading data science teams and delivering impactful ML projects.
• Strong proficiency in Python and SQL, with experience in cloud-based ML environments.

Responsibilities

• Lead and mentor a team of data scientists to drive ML initiatives.
• Oversee model deployment and ensure adoption of ML Ops platform.

Skills

Team Leadership

Machine Learning

Stakeholder Management

Problem Solving

Python

SQL

AI Innovation

Large Language Models

Tools

Google Cloud Platform

ML Ops

Job description

A leading organisation within the Insurance space is seeking a Head of Data Science to lead a team of data scientists and drive high-impact machine learning initiatives. This is a unique opportunity to shape the data science strategy, work closely with senior stakeholders, and lead the adoption of AI.

Key Responsibilities

1. Lead and mentor a team of data scientists, from mid-level to lead.
2. Identify, prioritise, and deliver high-value ML projects aligned with business goals.
3. Work closely with senior stakeholders to gain buy-in for data-driven strategies.
4. Oversee model deployment, monitoring, and recalibration to maximise impact.
5. Ensure full adoption of a Google Cloud-based ML Ops platform.
6. Drive education and advocacy for data science across the business.

What We’re Looking For

1. Strong experience leading a high-performing data science team.
2. A track record of developing and deploying commercially impactful ML solutions.
3. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred).
4. Excellent stakeholder management skills—able to bridge technical and business teams.
5. A proactive problem-solver with a passion for AI and innovation.
6. Experience deploying large language models in a business setting.
7. Background in personal lines insurance (health or life).
8. Experience with Google Cloud ML Ops tooling.