At a Glance
- Tasks: Analyse data and develop methodologies for AI benchmarking in banking.
- Company: Join a cutting-edge company transforming AI adoption in finance.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and responsible AI.
- Why this job: Make a real impact in the AI space while advancing your career.
- Qualifications: 3-6 years in analytics or research, preferably in financial services.
The predicted salary is between 40000 - 50000 £ per year.
Intro
We are building the global standard benchmark for AI maturity in business.
Our mission is to accelerate the adoption of AI in Banking by creating the most complete, unbiased and transparent public benchmark of corporate AI capability.
Our inaugural product launch, the Evident AI Index, was covered by the New York Times and many other outlets.
- 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 are backed by some of the world’s leading tech investors, including Lance Uggla, the backers of Revolut, the tech commentator Scott Galloway, and have built a network of advisors that includes the Global AI Lead at AWS, Mastercard’s President of Cyber & Intelligence, Ocado’s former CTO, the former CCO of the Alan Turing Institute, the Chair of the UK Government AI Council and the former Head of the UK Government Office for AI.
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 here.
Our commitments to diversity and inclusion are set out at the end of this job description.
The Role
As a Methodologist, you will be responsible for delivering the operational and analytical work that underpins Evident’s Outcomes products.
This is a hands-on, execution-focused role where you will analyse data, implement changes to our evolving methodology and contribute to producing high-quality benchmarking outputs for our client partners.
This position is ideal for someone who enjoys turning complex data into actionable outputs and eager to develop deeper methodological expertise within a high-performing, collaborative team environment.
Key Responsibilities
- Collect, clean, and analyse datasets from internal and external sources.
- Apply methodology frameworks, scoring models and maturity metrics to produce reliable benchmark outputs.
- Perform quality checks to ensure accuracy and consistency of results.
- Support the production of dashboards, reports, and internal/external deliverables.
- Test and validate scoring approaches and benchmark outputs.
- Identify potential improvements or inconsistencies and communicate them to the Senior Analyst and Head of Outcomes Analysis.
- Work closely with Product and Client Delivery teams to ensure outputs are usable and client-ready.
- Assist in the preparation of materials for internal and client-facing presentations.
- Keep up to date with sector-specific trends and AI developments to support methodological accuracy.
- Build technical skills in data analytics, visualisation, and benchmark delivery.
- Core Skills & Experience
- 3 - 6 years in analytics, research, or operational roles, preferably in financial services or consulting.
- Experience working with datasets, performing quality checks, and producing accurate outputs.
- Familiarity with frameworks, scoring approaches, or structured metrics, preferably within an AI or benchmarking context.
- Able to work effectively with cross-functional teams and clearly communicate findings.
- Comfortable delivering high-quality outputs under tight deadlines.
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Analyst, Outcomes employer: Evident
Evident is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and analytics. With a strong emphasis on employee growth, you will have the opportunity to mentor a talented team while shaping the future of AI benchmarking in financial services. The flexible work arrangement allows for a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst, Outcomes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Evident!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analyst, Outcomes at Evident.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Evident.
✨Apply Directly through Our Website
When you find a suitable opening like Analyst, Outcomes at Evident, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analyst, Outcomes
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Evident, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Evident. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Evident
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Evident!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.