Junior Data Scientist

Zego; City Of London; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading insurance technology company in London is seeking a highly motivated Junior Data Scientist to join their Core Pricing team. The role involves building predictive models, exploring large datasets, and collaborating with Engineering and Product teams. Ideal candidates will have a degree in a relevant field, programming skills in Python and SQL, and a problem-solving mindset. This position offers competitive salary and benefits along with a hybrid working model.

Benefits

Market-competitive salary

Private medical insurance

Company share options

Generous holiday allowance

Wellbeing benefits

Annual flexible hybrid working contribution

Qualifications

• At least 1 year of proven experience as a Junior Data Scientist/Data Analyst.
• Experience with version control and software development best practices in a data-intensive environment.

Responsibilities

• Explore and analyse large datasets to uncover trends and opportunities.
• Build and validate statistical and machine learning models.
• Communicate insights clearly through dashboards and visualisations.

Skills

Python

SQL

Statistical Methodology

Communication

Problem-solving

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field

Tools

pandas

scikit-learn

AWS

Looker

matplotlib

seaborn

Git

Job description

Overview

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. Since 2016, our mission has been to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are at the heart of everything we do. We have sold tens of millions of policies and raised over $200 million in funding, and we’re just getting started.

Who we’re looking for

We are looking for a highly motivated Junior Data Scientist, keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade pricing and risk models effectively, safely, and consistently.

What you’ll do

• Explore and analyse large telematics, policy and quote datasets to uncover trends and opportunities
• Build and validate statistical and machine learning models that power pricing and risk selection
• Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models
• Communicate insights clearly through dashboards, visualisations and storytelling
• Contribute to best practice in code review, experimentation and shaping our ways of working as you grow

What you’ll bring

• Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
• Experience: At least 1 year of proven experience as a Junior Data Scientist/Data Analyst
• Technical Skills:
  • Python: Strong programming skills with knowledge in training predictive models; familiarity with pandas and scikit-learn
  • SQL: Proficient, 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 (AWS) and data visualisation tools (Looker, matplotlib, seaborn)
• Software Engineering: Experience with version control (Git) and software development best practices in a data-intensive environment; care about documentation and reproducibility
• Soft Skills: Curiosity and problem-solving mindset; excellent communication skills with the ability to present complex information clearly

Nice to have (but not essential)

• Experience with CI/CD pipelines (e.g., Buildkite and ArgoCD)
• Hands-on experience with insurance pricing tools like Akur8, Emblem or similar
• Exposure to telematics or usage-based insurance data
• Experience with time series analysis and/or graph technologies

What it’s like to work at Zego

Joining Zego is a career-defining move. We’re spread throughout the UK and Europe, united by our drive to get things done. We’re proud of our culture—friendly and inclusive, where we lift each other up and celebrate wins. There’s room to learn and grow, and you’ll have the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace 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 teams work best when they have time to collaborate and space to get things done. We call it Zego Hybrid. Spend at least one day a week in our central London office. It’s a good mix of collaborative face time and flexible home-working, balancing 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 curiosity and intentional use of AI to drive practical impact. This is your chance to do meaningful work with the tools, support, and freedom to do it well.

Benefits

We reward our people well. You’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and wellbeing benefits. We offer an annual flexible hybrid working contribution to support travel to the office or personal development.

EEO and company values

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