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

Apply Now

Senior Data Analyst

Lime Street
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Up to £85,000 | 10% Bonus | London | Hybrid

About the Role:

We are seeking a talented graduate with a numerate background to join a leading Lloyd’s insurance group as a Data Analyst within their Actuarial Pricing team.

This position offers an exciting opportunity to support the development of pricing models and management information (MI) dashboards while collaborating with underwriting teams.

Prior experience in data analytics or programming (such as Python or SQL) is highly desirable. The role is a contract position until December 2025, with potential for extension.

Key Responsibilities:

  • Design, build, and enhance Power BI dashboards to meet business requirements and provide key insights

  • Support data manipulation, testing, and ensure documentation accuracy

  • Work closely with underwriting and pricing teams to develop and implement MI solutions

  • Explore and develop new techniques to improve MI capabilities, data quality, and operational efficiency

  • Train stakeholders on new dashboards and maintain documentation

  • Provide support with Excel-based pricing models using VBA when necessary

    Technical Skills & Requirements:

  • Proficiency with SQL, Power Query, DAX, and Excel for data analysis, transformation, and visualization

  • Experience using Python or R for data analysis, automation, and problem-solving

  • Strong ability to present complex data in a clear, visual format using tools like Power BI or Tableau

    Education & Experience:

  • A 2.1 or 1st class degree in a numerate discipline (e.g., Mathematics, Engineering, Computer Science)

  • Strong ‘A’ level results (B or higher), particularly in Mathematics

    Personal Attributes:

  • Exceptional attention to detail, particularly with numerical data and report clarity

  • Strong organizational skills with the ability to meet deadlines

  • Excellent teamwork and communication abilities, with the ability to interact with stakeholders at all levels

    Why This Opportunity?

    This is a great chance to work in a growing, dynamic environment, offering hybrid working and a diverse, inclusive culture. The organization has experienced significant growth and continues to expand globally, offering excellent benefits and a flexible, supportive working environment

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.