It is our vision to connect the insurance community through market-leading technology. Our people are placed at the heart of this, and diversity, equity and inclusion are central to everything we do.
We know the key to achieving success is to enable a positive, inclusive, and collaborative working culture, and, as part of our commitment, we have signed up for a number of pledges and programmes designed to support and nurture our people.
No matter where you sit or which team you are a part of, we want you to know that you contribute in helping us to shape where the company will be in the future. We would love for each employee to be able to talk with pride about our company and, most importantly, consider Open GI to be an inclusive, fun and fulfilling place to work.

QUALIFICATIONS

• Advanced degree in Data Science, Computer Science, Mathematics, Statistics, or related field.

SKILLS

• Excellent communicator
• Knowledge of Agile
• Strong presentation skills

MISSION AND VALUES

Our values are central to our vision, as they represent how we collaborate to continually deliver for our customers:

• Accountability: We own our actions and shape our success on the results we deliver
• Innovation: We tackle challenges with fresh thinking and bold ideas
• Teamwork: We work together, recognising we can’t do this without each other
• Trust: We build trust on integrity, transparency and mutual respect

We are looking for an individual who embraces our values in their actions, decisions, communications and processes to inspire positivity and, ultimately, exceptional performance.

AN OVERVIEW OF THE ROLE

We’re looking for a Lead Data Science Engineer to join and help shape our Data Team. This is a hands-on technical leadership role where you’ll take ownership of the design and implementation of our unified data platform and DaaS offerings. You’ll work closely with data engineers, data scientists, architects, and business stakeholders to deliver scalable, high-impact data solutions that support both internal teams and external clients.
Please note, this is a hybrid role requiring in-office attendance at our Winchester or Worcester office twice a week, therefore we are looking initally for candidates who live within a 50 mile radius of one of these offices.

YOUR KEY RESPONSIBILITIES

• Lead the design and delivery of scalable data infrastructure and pipelines to support machine learning, analytics, and data product development.
• Champion the development and rollout of Data-as-a-Service (DaaS) offerings, including APIs and secure data delivery mechanisms.
• Collaborate with cross-functional teams to translate business needs into robust data and ML solutions.
• Foster a culture of knowledge sharing and continuous improvement.
• Oversee the productionisation of machine learning models and their integration into live systems and client-facing applications.
• Support data governance, quality, and compliance standards across the platform.
• Stay on top of emerging technologies and trends in data science engineering, identifying opportunities for innovation.