Python Developer

CV-Library
London
13 months ago
Applications closed

Related Jobs

View all jobs

Senior Python/GenAI Developer

Randstad Technologies Recruitment Belfast, County Antrim, United Kingdom
£70,000 – £75,000 pa Hybrid

Lead Developer

Astute People Milton Keynes, Buckinghamshire, United Kingdom
£60,000 – £70,000 pa On-site

Data Developer

Halton Housing Widnes, Cheshire, WA8 0RP, United Kingdom
£39,602 pa Hybrid

Lead Developer AI

Datatech London, United Kingdom
£500,000 pa Remote

Full Stack IoT Developer

Cubiq Recruitment Bowerhill, Wiltshire, SN12 6EY, United Kingdom
£55,000 – £60,000 pa

Junior Backend Developer (AI & Automation)

EVERLINKED Newquay, Cornwall, United Kingdom
£30,000 – £50,000 pa On-site
Posted
23 Apr 2025 (13 months ago)

Python Developer
Python - AWS - React
London x3 days in office
£60-£80,000 (depending on seniority)
My client, one of the leading Specialty Insurers globally, combine extensive expertise with a solid financial foundation to manage and evaluate risk in ways that set them apart in the industry. They're dedicated to empowering their teams and delivering on their promises, valuing innovation, creativity, and growth as they strive to offer dynamic, effective solutions.
The Underwriting & Reinsurance Performance team is part of my client’s ongoing commitment to innovation. This team works alongside underwriters to provide actionable insights at the critical decision-making points, enhancing their ability to perform efficiently.
About the Role:
Within this team they're seeking both Mid-level & Senior Developers to join them. In these roles, you'll play a pivotal part in the research, design, and development of software solutions that help transform their underwriting business. You'll be involved in building full-stack solutions, from underwriting dashboards to an actuarial model management platform, collaborating with cross-functional teams to enhance our data platform and drive continuous improvement.
Key Responsibilities:


  • Collaborate with software engineers, data engineers, and underwriters to shape the future of Property & Casualty underwriting.

  • Continuously improve processes and ways of working, ensuring a strong focus on the underwriting experience.

  • Deliver high-quality software in small, incremental steps.

  • Foster technical excellence to maintain and enhance team agility.

Requirements:


  • Proven experience in Python application development (experience with FastAPI is a plus).

  • Relevant qualifications (BSc in Computer Science, Software Development certifications, or equivalent experience).

  • 3+ years of experience in developing and configuring complex software solutions.

  • Strong grasp of object-oriented programming and test-driven development (TDD, BDD).

  • Deep understanding of agile software engineering practices.

  • A passion for continuous learning and experimentation.

Desirables:


  • Familiarity with AWS or Azure cloud platforms.

  • Hands-on experience with Domain Driven Design (DDD).

  • Some experience with front-end technologies such as HTML, CSS, HTMX, or React.

  • Knowledge of Git, CI/CD pipelines, and DevOps practices, including observability and monitoring.

  • Any background in Actuarial or Commercial Insurance is advantageous.

  • Exposure to or interest in Terraform and deployment pipelines in AWS or Azure.

  • Awareness of modern software techniques like microservices, containerization, and integration patterns

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.