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

Apply Now

Data Analyst Apprentice – QA Apprenticeships (London)

School Result
London
3 days ago
Create job alert

Employer Overview

Heirloom Fair Legal is a legal financing provider focused on UK consumer protection claims for individuals and small businesses. With over 20 years of experience in legal, finance, and technology, the company leverages data-driven systems to enhance efficiency and risk management across its operations.

Position TitleLocation

London, England

£26,000 per year

Employment Type

Full-Time Apprenticeship
Monday to Friday, 9:00am – 6:00pm (40 hours per week)

Role Summary

This apprenticeship offers a unique opportunity to gain hands-on experience in financial modelling, credit evaluation, and performance tracking. You’ll work closely with senior leadership to monitor portfolio health and support strategic decision-making through data analysis.

Key Responsibilities

  • Track claim outcomes and borrower behavior against investment assumptions
  • Build and refine financial systems and reporting tools
  • Produce performance dashboards and reports for executive stakeholders
  • Monitor risk concentrations and cash flow impacts
  • Review legal budgets and vendor structures for financial alignment
  • Conduct variance and attribution analysis to identify performance trends
  • Familiarity with structured finance, private credit, or litigation funding
  • Strong financial modelling and scenario analysis capabilities
  • Excellent quantitative and analytical skills
  • Understanding of accounting principles and investment evaluation
  • Ability to communicate complex financial data across teams

Entry Requirements

  • Level 3 qualification (A-levels, BTEC, or equivalent) or two years of relevant work experience
  • 5 GCSEs including English and Maths at Grade 4 (C) or above
  • Proficiency in Excel and Microsoft Office tools
  • International applicants must provide UK ENIC equivalency documentation
  • Private medical insurance
  • Dental cash plan
  • Life insurance
  • Salary sacrifice schemes
  • Pension with 3% company contribution

Future Prospects

Successful completion of the apprenticeship may lead to a permanent position within Heirloom Fair Legal.

About QA Apprenticeships

QA is one of the UK’s leading training providers, with over 50,000 apprenticeship graduates. Their programs combine practical experience with structured learning, helping candidates build careers in tech, finance, and business.

Join Our Official Channels for more Jobs & Scholarship

No comment's at the moment!, Be the first to post a comment.


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Analyst Apprenticeship

Senior Data Engineer

Senior Data Engineer

The Estée Lauder Companies | Data Analytics Apprentice | February Start

Senior Data Engineer

Data Analyst

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.

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.