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Data analyst

London
ea Change
Data analyst
Posted: 27 August
Offer description

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This range is provided by ea Change. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


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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.

About Us

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.

The Opportunity

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 (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 equivilent)

Desirable (but not essential)

* 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
* 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
* Hybrid working and real-world commercial experience

Diversity & Inclusion

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.

How to Apply

If you're an ambitious graduate with a passion for Artificial Intelligence and Blockchain Technologies - please submit your CV

Please note:

ea Change is not on the UK Border Agency’s Sponsor Register and cannot sponsor work visas.

If you do not hear from us within 14 days, unfortunately, your application has not been successful.


Seniority level

* Seniority level

Entry level


Employment type

* Employment type

Full-time


Job function

* Job function

Finance
* Industries

Business Consulting and Services

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