Graduate Technical Business Analyst, Data & AI, London

Cooper & Hall Limited; Greater London; Hybrid; GBP 30,000 - 42,000; Full time

Benefits offered by this job

Mentorship from day one

Clear progression path

Funded specialist courses

Job summary

Acturis is seeking graduates to join our AI/ML‑focused team in the UK, delivering AI‑driven solutions including LLMs and intelligent agents. You will design and build scalable Python services, contributing to core applications and reusable tools used by Acturis customers.

We offer mentorship from day one, a clear progression path, and real responsibility early on as you grow within a collaborative, startup‑style culture.

Qualifications

• You’ll thrive here if you have a 2:1+ in a STEM degree and strong A‑levels (AAB minimum, including Maths).
• You are logical, analytical, organised, and quick to learn new concepts.
• Communicate confidently and enjoy working in a collaborative team environment.

Responsibilities

• Work with internal teams and clients to understand business challenges and identify opportunities to apply AI driven solutions, including LLMs and intelligent agents
• Design and build scalable services in Python, contributing to the development of core applications and reusable solutions that benefit all Acturis customers
• Support the development, testing and enhancement of machine learning and AI powered tools that improve how insurance professionals operate

Skills

Analytical thinking

Team collaboration

Fast learner

Strong communication

Education

2:1 STEM degree

A-Levels including Maths (AAB)

Job description

At Acturis, innovation isn’t just part of our culture -it’s in our DNA.

Our story began in 2000in the garden shed of our co‑founder, Theo Duchen, who, alongside fellow former McKinsey partner David McDonald, set out to reinvent insurance technology. What started as a bold start‑up idea has grown into a global SaaS leader trusted by the industry.

Today,over 100,000 users across 40+ countriesrely on the Acturis platform. By working closely with brokers, insurers, and MGAs, we continue to shape the market and drive new standards across both personal and commercial lines.

Acturis is proud to be recognised as aGreat Place to Work® 2026and to maintain a collaborative, innovative, start‑up‑style culture, even as we scale globally. Withover 90% of our hires coming from graduate backgrounds, this is a place built for early‑career talent to thrive. And as an EcoVadis Committed‑rated organisation, we focus on creating long‑term value by operating in a sustainable and responsible way.

Day to day you will:

• Work with internal teams and clients to understand business challenges and identify opportunities to apply AI driven solutions, including LLMs and intelligent agents
• Design and build scalable services in Python, contributing to the development of core applications and reusable solutions that benefit all Acturis customers
• Support the development, testing and enhancement of machine learning and AI powered tools that improve how insurance professionals operate

We offermentorship from day one, aclear progression path, and real responsibility early on, because we’ve built an environment where graduates grow fast and make meaningful impact.

You can expect:

• A transparent career structure, regular feedback, and 3 formal performance reviews annually
• Opportunities to lead projects, manage resources, and mentor junior team members.
• Intensive onboarding, industry-recognised training, and funded specialist courses as you progress.

Job requirements

You'll thrive here if you:

• Have (or expect) a 2:1+ in a STEM degree and strong A‑levels (AAB minimum, including an A in Maths).
• Are logical, analytical, organised, and quick to learn new concepts.
• Communicate confidently and enjoy working in a collaborative team environment.

We have a variety of join dates available for this role and can offer both ASAP start dates and start dates up the end of 2026.

Please note Acturis is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.

If you will require any reasonable adjustments to be made at any stage throughout the recruitment process then please emailusso that we may accommodate them for you.

Successful candidates will usually be contacted within 14 days of applying. Due to the high-volume of applications we receive, we are unfortunately unable to inform unsuccessful applicants.

Unfortunately, we are unable to offer sponsorship for this position at this time. Please keep an eye out on our Careers page for any updates regarding sponsorship.