Deskripsi pekerjaan

About Evident

Evident is an AI intelligence platform focused on benchmarking and tracking AI implementation within the financial services industry. Our mission involves accelerating AI adoption by delivering comprehensive, impartial, and transparent public benchmarks of AI capability. Since launching our premier product, the Evident AI Index, in January 2023, it has quickly become the industry standard for measuring AI maturity in financial services worldwide.

Our founders bring over 30 years of expertise in building influential indices designed to drive positive change. Our innovative research team employs the latest machine learning methods to enhance data collection and analytical tools rapidly and efficiently. Backed by leading technology investors, including backers of Revolut and renowned tech commentator Scott Galloway, we collaborate with major banks to influence AI strategies that affect millions of their customers.

Role Overview

This position is ideal for new graduates or early-career data professionals aiming to begin their data science journey within an agile and entrepreneurial setting. Primarily joining our Data Science team, you will also gain exposure to Data Engineering and Data Analytics through cross-team projects.

Your responsibilities will include developing analytical and machine learning solutions supporting Evident's benchmarks, research, and client offerings. You will work with both structured and unstructured data, engage in automation tooling, and apply contemporary AI methods while deepening your understanding of AI's evolution in the financial sector.

Key Responsibilities

Contribute to machine learning and AI initiatives involving natural language processing, large language models, and automation workflows to enhance research and data processing.
Assist in cleaning and transforming diverse datasets to prepare them for comprehensive analysis.
Develop scripts and tools automating repetitive tasks to boost team efficiency.
Participate in cross-functional rotations with Data Engineering and Analytics teams, gaining insights into data infrastructure, pipelines, and visualization dashboards.
Engage in hackathons and innovation projects to experiment with emerging AI and data science techniques.

Candidate Profile

Ideal candidates are STEM graduates from the class of 2025 or professionals with up to two years of experience in data science, analytics, computer science, or related areas. Proficiency or familiarity with Python or similar programming languages is necessary, alongside strong quantitative and analytical aptitude.

Comfort with working on both structured and unstructured datasets, eagerness to learn machine learning and AI methods, attention to detail, and collaborative teamwork abilities are critical. Effective communication skills and a keen interest in AI, machine learning, and emerging technologies are also important.

Additional Desirable Skills

Prior exposure to machine learning, NLP, or large language model projects through academic, internship, or personal initiatives
Working knowledge of SQL and cloud platforms (GCP, AWS, Azure)
Experience with data science libraries like pandas, scikit-learn, or PyTorch
Familiarity with APIs, automation, or handling unstructured text data
Interest in financial services sectors, including banking or insurance

Conditions and Requirements

Applicants must have indefinite right to work in the UK. Candidates who do not meet all the criteria are still encouraged to apply.

Benefits

Equity options with a 4-year vesting schedule
28 days of paid vacation plus public holidays
Flexible work arrangement with 3-4 days per week onsite at Central London office and 1-2 days remote
Annual learning and development budget of £1000
Company pension scheme
Private healthcare coverage

Diversity and Inclusion Commitment

Evident is dedicated to fostering equality, diversity, and inclusion, eliminating all discrimination, and creating a workforce representative of society and customers.
Our recruitment ensures non-discrimination based on characteristics such as race, age, disability, gender identity, marital or pregnancy status, religion, sex, or sexual orientation. We provide reasonable adjustments to accommodate candidates during recruitment processes when necessary.
We promote a workplace free from bullying, harassment, and victimisation, valuing respect and recognising individual contributions.

Graduate Data Scientist