Hiring: Data Science Lead, Commercial Impact & AI Leadership

Hiring: Data Science Lead, Commercial Impact & AI Leadership

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Marshmallow

At a Glance

  • Tasks: Lead a data science team to enhance ML impact on product, pricing, and claims.
  • Company: Join Marshmallow, a forward-thinking insurtech company in London.
  • Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
  • Other info: Opportunity for career growth in a regulated and exciting industry.
  • Why this job: Make a real difference in the insurtech space with innovative AI solutions.
  • Qualifications: Proven experience in data science leadership and stakeholder management.

The predicted salary is between 63000 - 77000 Β£ per year.

Marshmallow is seeking a data science leader in London to drive the commercial impact of ML across product, pricing and claims. You will lead a team, set technical standards, and partner closely with engineering and product to deliver high-quality models and scalable solutions. This hands-on leadership role demands strong stakeholder management, a commercial mindset, and the ability to mentor others while maintaining technical excellence in a regulated insurtech environment.

Hiring: Data Science Lead, Commercial Impact & AI Leadership employer: Marshmallow

At Marshmallow, we pride ourselves on being an excellent employer, offering a dynamic and supportive work culture that fosters innovation and collaboration. As a Senior Android Engineer in London, you'll benefit from our commitment to employee growth through mentorship and continuous learning opportunities, all while contributing to meaningful projects that empower migrants in the UK. Join us to be part of a team that values your expertise and encourages you to take ownership of your work in a hybrid environment.

Marshmallow

Contact Details:

Marshmallow Recruitment Team

We think you need these skills to ace Hiring: Data Science Lead, Commercial Impact & AI Leadership

Data Science Leadership
Machine Learning (ML)
Stakeholder Management
Commercial Mindset
Mentoring Skills
Technical Standards Setting
Collaboration with Engineering