Software Developer

Hymans Robertson
Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Developer

Senior Python Developer

Software Engineer

Digital Systems Project Manager

Head of AI & Data Science

Head of AI & Data Science

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.