Graduate Data Scientist

Develop data science and machine learning solutions by working on AI research, automation, and analytics projects that support benchmarking across the financial services sector.

Introduction

Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector. Our mission is to accelerate the adoption of AI across the sector by creating the most complete, unbiased and transparent public benchmarks of AI capability. 

Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in financial services.

Why join us:

• We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world

• We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools

• We’ve been backed by some of the world’s leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway

• We’re working with some of the world's largest banks, helping them shape their AI strategies impacting millions of customers 

If you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI. Our commitments to diversity and inclusion are set out at the end of this job description.

The Role

This role offers outstanding graduates and early-career candidates the opportunity to begin their career in data science within a fast-paced, entrepreneurial environment. You’ll work primarily within our Data Science team, while also gaining exposure to Data Engineering and Data Analytics through cross-functional projects.

You’ll help develop analytical and machine learning solutions that support Evident’s benchmarks, research and client products. Over time, you’ll gain experience working with structured and unstructured data, automation tooling and modern AI techniques, while building a strong understanding of how AI adoption is evolving across financial services.

You’ll work closely with data scientists, engineers and analysts across the business, contributing to projects that automate research tasks, improve internal workflows and generate insights from complex datasets.

Examples of the work you’ll be across: 

• Machine Learning & AI Projects: You’ll support projects involving NLP, LLMs and automation workflows to help improve research and data processes.

• Data Cleaning & Transformation: You’ll help process and analyse structured and unstructured datasets to create analysis-ready data products.

• Research Automation: You’ll contribute to scripts and tooling that automate repetitive tasks and improve efficiency across the data team.

• Cross-Team Rotations: You’ll have opportunities to work on projects with our Data Engineering and Data Analytics teams, gaining exposure to data infrastructure, pipeline development and dashboarding.

• Experimentation & Innovation: You’ll take part in hackathons, experimentation projects and internal initiatives exploring new AI and data science techniques.

Core Skills:

• 2025 STEM graduate or 0-2 years experience in data science, analytics, computer science or a related field

• Experience programming in Python or a similar programming language

• Strong quantitative and analytical problem-solving skills

• Familiarity with analysing structured and unstructured datasets

• Comfortable learning and experimenting with machine learning and AI techniques

• Excellent attention to detail and curiosity for solving complex problems

• Comfortable working collaboratively in cross-functional teams

• Excellent written and verbal communication skills

• An interest in AI, machine learning and emerging technologies

Please note: You must have indefinite Right to Work for the UK. 

Nice to have

• Exposure to machine learning, NLP or LLM projects through university, internships or personal work

• Familiarity with SQL and cloud platforms such as GCP, AWS or Azure

• Experience using data science libraries such as pandas, scikit-learn or PyTorch

• Experience working with APIs, automation or unstructured text data

• An interest in financial services sectors such as banking or insurance

If you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless.

Benefits

• Share options: we offer all employees share options over a 4 year vesting period

• Holidays: 28 days of holiday + public bank holidays

• Flexible working: 3-4 days per week in our Central London office, 1-2 days remote

• Learning & development budget: £1000/year

• Pension

• Private health insurance

Our commitments to diversity and inclusion

• Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best.

• During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible.

• We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.