Senior Machine Learning Engineer, Pricing

Zego; London; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

Private Medical Insurance

Company Share Options

Generous Holiday Allowance

Wellbeing Benefits

Flexible Working Hours

Travel Cost Contributions

Company-wide Events

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer, where you will revolutionize pricing processes in the insurance sector. This role focuses on optimizing and automating pricing systems, enhancing predictive model performance, and collaborating with cross-functional teams. You'll have the opportunity to make a significant impact in a dynamic environment that values innovation and teamwork. With a flexible hybrid working model, competitive salary, and a culture that champions growth and diversity, this position is perfect for those looking to advance their careers while making a difference in the insurance industry.

Qualifications

• Proven experience in managing ML model lifecycles and deployment.
• Hands-on experience with Python and data science libraries.

Responsibilities

• Build and maintain model lifecycle tooling for predictive models.
• Collaborate with teams to gather requirements and improve tooling.

Skills

Machine Learning Model Lifecycle Management

Statistical Methodology

Python

DevOps

Cloud Environments (AWS)

SQL

Version Control (Git)

Communication Skills

Project Management

Education

Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science

Tools

Kubeflow

GitOps

CI/CD Tools (Buildkite)

Docker

Terraform

gRPC/protobuf

Job description

Senior Machine Learning Engineer, Pricing

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 Senior Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems.

Key Responsibilities

• Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models)
• Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries
• Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work
• Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology
• Communicate complex concepts to technical and non-technical stakeholders through clear storytelling

Required Skills

• Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or a related field
• Experience: Proven experience in ML model lifecycle management

Core Competencies:

• Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes
• Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work
• Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn
• DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker
• Cloud: You have worked with cloud-based environments before (we use AWS)
• SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake
• Version control: You are proficient with git

Soft Skills:

• You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work
• You have proven your project management skills, with the ability to manage multiple priorities
• You have worked closely together in cross-functional teams, including with Data Scientists, Actuaries, and Product Managers

Nice To Have

• Experience in UK motor insurance
• Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing
• Understanding of pricing modelling tools such as Akur8 or Emblem
• Experience with IaC (we use Terraform)
• Experience with gRPC/protobuf

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.

Our hybrid way of working is unique. We don't mandate fixed office days. Instead, we foster a flexible approach that empowers every Zegon to perform at their best. We ask you to spend at least one day a week in our central London office. You have the flexibility to choose the day that works best for you and your team. We cover the costs for all company-wide events (3 per year), and also provide a separate hybrid contribution to help pay towards other travel costs. 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.

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. And that’s just for starters.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet