Technical Data Analyst - Insurance/Pensions

Miryco Consultants Ltd
London
3 months ago
Applications closed

Related Jobs

View all jobs

Technical Data Analyst CGEMJP00337191

HR Data Analyst

HR Data Analyst

Performance and Data Analyst (SEND)

Data Analyst

SC Cleared Data Analyst

Miryco is working with a leading player in the insurance and pensions market.


Our client are searching for a Technical Business Analyst/Technical Operations Analyst whose primary responsibilities include looking at new deals and the subsequent implementation, maintenance and continuous improvement of the companies insurance and pension systems.


You will have interaction with multiple stakeholders throughout the business, particularly with the technology and actuarial/pricing teams. The work is varied and project-based and offers a good deal of freedom and self-direction. This is a great opportunity to join a high-performing team supporting the growth of a dynamic company.


The role can be summarised as:

Lead the Analysis > Design > Development > Testing > Implementation of new features and functionality to the in-house systems to accommodate new transactions and operational/actuarial efficiencies.


What the client requires:


  • A high-achieving graduate with 2-5 years’ work experience.
  • Strong analytical and problem solving skills
  • Strong project management skills and the ability to multi-task effectively whilst monitoring deliverables and deadlines
  • Strong Excel skills - experience of manipulating large data sets and/or creating cash flow models


Desirable:

  • Familiarity with coding languages such as Python is advantageous
  • Pensions, insurance and/or reinsurance knowledge


Location: London


Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills.


For similar roles, please follow Miryco Consultants - LinkedIn

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.