Graduate Technical/Data Analyst | London

eaChange
London, UK
11 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£30,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Data Visualization Distributed Systems Fraud Prevention and Detection Python (Programming Language) Machine Learning NumPy Power BI Blockchain SQL Databases
+4 more
Tableau (Software) Pandas Scikit Learn Information Technology

Job description

Graduate Technical/ Data Analyst | London Rate £30,000 (Year 1) Duration 24-Month Fixed-Term Contract

Are you a recent graduate with a technical degree and a passion for Artificial Intelligence, Machine Learning and Blockchain technologies? Want to kickstart your career working on real-world problems that could reshape the future of finance?

Join ea Change and become part of a team exploring how cutting-edge technologies can reduce payment fraud and disrupt traditional finance operations., We’re working with a leading client in the financial services sector who is investing heavily in the use of AI, machine learning, and blockchain to tackle payment fraud and drive innovation. As a Graduate Data Analyst, you’ll be deployed onsite with their team, supporting data-driven decision-making and emerging technology initiatives.

You’ll work alongside industry experts, helping to interpret complex datasets, build models, and evaluate the impact of next - gen technologies - all while gaining hands-on experience that sets you apart in the job market.

Responsibilities

  • Support the design, testing, and evaluation of AI/ML models for fraud detection.
  • Analyse complex datasets to identify patterns, anomalies, and insights.
  • Collaborate with developers and data scientists to validate results and refine algorithms.
  • Assist in developing blockchain use cases and understanding smart contract workflows.
  • Build dashboards, reports, or data visualisations to communicate findings to stakeholders.
  • Contribute to research into emerging technologies and their practical application in finance.

Requirements

  • Undergraduate degree in a technical field - minimum 2:1 required (e.g., Computer Science, Data Science, Mathematics, Engineering, Physics, or related)
  • A strong and demonstrable interest in AI/ML and blockchain technologies - especially in their application to real-world business challenges
  • Solid understanding of data analysis techniques and some familiarity with tools such as Python, SQL, or Excel
  • Excellent attention to detail and critical thinking skills
  • Good communication skills, with the ability to explain technical insights to non-technical audiences
  • Right to work in the UK
  • Strong academic background (GCSEs, A-Levels or equivalent), * Experience with Python libraries like Pandas, NumPy, or Scikit-learn
  • Exposure to machine learning concepts or blockchain architecture
  • Coursework or personal projects involving data analysis, AI/ML, or distributed systems
  • Knowledge of data visualisation tools like Power BI or Tableau

Benefits & conditions

  • Fully funded, accredited qualifications
  • Bespoke technical and business skills training
  • A health cash plan
  • 26 days annual leave
  • Regular mentoring and personal development
  • Access to an online learning portal and technical labs
  • Fast-track pathway into specialist data and tech consulting roles - 5 years traditional development in just 2 years
  • Hybrid working and real-world commercial experience

About the company

With over 20 years of experience in Business and IT Transformation, ea Change partners with organisations to deliver meaningful, lasting change. Through our Futures Programme, we place and develop high-potential graduates in client-facing roles, combining real-world experience with personalised training and mentoring.

We champion diversity, integrity, and curiosity - and we’re building the next generation of data and technology leaders., Our clients value diversity in all its forms, and we especially welcome applications from female graduates and individuals from underrepresented backgrounds in STEM. If you’re passionate about tech and ready to grow, we want to hear from you.

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