Arthur Recruitment
Data Science Specialist – Insurance & Machine Learning

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Science Specialist – Insurance & Machine Learning
London | Hybrid | Full Time
£85,000 + up to 40% bonus + 10% pension
We’re partnering with a leading London Market insurance business looking for a Data Science Specialist to join its growing Data Science function.
This is a genuinely end-to-end Data Science role, combining machine learning, production-grade Python, MLOps and commercial insurance. You’ll work directly with underwriting and actuarial teams to build solutions that improve profitability, automate processes and generate actionable insights.
What you'll be doing
- Lead Data Science and ML projects end to end, from problem definition through to production
- Build models and insights that improve underwriting performance and profitability
- Partner directly with underwriters and actuaries across different insurance classes
- Build and maintain cloud-based ML pipelines, owning models through monitoring, drift and retraining
- Explore Generative AI / LLMs and Data Science to drive automation and new insights
- Raise standards across MLOps, CI/CD, testing and model versioning
- Mentor junior team members and contribute to the wider Data Science roadmap
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we're looking for
- Strong Python, SQL and production-quality software engineering skills
- Proven experience deploying Machine Learning models into production
- Strong ML and statistical modelling experience
- Hands-on MLOps and CI/CD, including deployment, monitoring and retraining
- Cloud ML experience, ideally Azure / Azure ML / Azure DevOps, although AWS or GCP is considered
- Strong commercial and stakeholder skills, with the ability to turn business problems into practical Data Science solutions


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Highly advantageous
- Lloyd’s / London Market insurance experience
- Knowledge of underwriting, pricing, reserving or actuarial processes
- Generative AI / LLM deployment experience
- PySpark or distributed processing experience
- Power BI / data visualisation experience
Apply Now!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location