Description

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive.

That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do.

We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started.

Who we're looking for

We are looking for a Data Science Manager, reporting to the Head of Data Science to be a pivotal contributor to our Core Pricing team. The mission is to build and run a world-class data-science operating model that turns ideas into production-grade pricing and risk models fast, safely, and repeatedly.

Key Responsibilities

Establish a reliable Data Science workflow – clear guard-rails, templates, and documentation across the full project lifecycle
Shorten the idea-to-production cycle – from first data pull to live rate change
Foster a culture of collaborative experimentation – pairing Pricing, Data Science, Machine Learning Engineering & Systems Engineering
Line management and mentorship - Manage around 4 Data Scientists or Analysts and mentor members of the team and help them in their development
Define coding standards and best practice, map common processes and establish playbooks for them
Help decide on tooling used during the Data Science project lifecycle

Required Skills

Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on Data Science operations
Technical Skills:

Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn
SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake
Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms
Data Tools: Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)

Software Engineering:

Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment
Ability to balance architecture thinking with heads-down coding

Soft Skills:

Excellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible way
Care about documentation, reproducibility, and teaching others “the why” behind decisions

Nice To Have

Exposure to telematics or usage-based insurance data
Experience designing or maintaining MLOps platforms
Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter.

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters.

There’s more to Zego than just a job - Check out our blog for insights, stories, and more.

We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

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