Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Developer

Hymans Robertson
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Software Developer (Research Infrastructure) - £350/500,000 - Quantitative Trading

Software Developer - Data Analytics Team

Software Developer, Quantitative Development Team

Quantitative Software Developer

Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £160,000[...]

Data Scientist Python Software - London (IT) / Freelance

The Vacancy

We have an exciting opportunity for a Software Developer to join our growing software development function serving the Pensions Market.

You will be part of a multi-disciplinary team focussed on building sustainable software that drives our business forward. We make use of the latest technologies to facilitate the delivery of our ground-breaking business solutions, solving complex problems that allow us to deliver simple and helpful advice to our customers. Our teams are passionate about technology and adopt an agile approach to software delivery. Our DevOps culture promotes both team autonomy and engineering excellence.

You will

Work as part of a multi-disciplinary team that builds, tests, and maintains our software applications and services. Design and implement systems in a range of programming environments and software platforms (primarily .NET and Microsoft Azure). Be open to working with our expert groups and skills communities to evolve our best practices and experiment with new techniques. Depending on experience you may mentor, coach & provide people management for less experienced team members.

About You

To succeed in and enjoy this role you are likely to have experience with:

Object-oriented development patterns and approaches primarily in delivering C# .NET solutions Microsoft development stack and Azure Cloud computing technologies, including many of the following: ASP.NET & ASP.NET Core, web services and service-oriented architectures, microservices, CQRS, RESTful APIs, SQL Server/Transact SQL, Git & Azure DevOps BDD/TDD testing using frameworks such as NUnit, FakeItEasy, and SpecFlow Message brokers (e.g., Azure Service Bus/RabbitMQ) and messaging patterns Continuous integration and continuous delivery practices within the Azure Dev Ops platform (yaml pipelines) Relational and NoSQL data architectures and technologies

You will be

Self-motivated with a drive to learn and share knowledge. Focused on continuous learning and improvement. An effective communicator and an effective team player, able to collaborate with all the skills in your team. Able to forge strong and professional relationships at all levels. Able to collaborate successfully with client and 3rd party technical teams. Able to articulate technical concepts to a non-technical audience. Confident across the entire software development lifecycle.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.