Senior Data Scientist

Zopa Bank Limited; City of Westminster; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services company is seeking a Senior Data Scientist in the United Kingdom. You will lead impactful data modeling projects and engage with senior stakeholders to drive crucial business decisions. The ideal candidate possesses strong Python and machine learning skills, demonstrates effective communication, and thrives in a collaborative environment. This hybrid role offers flexibility to work both from the office and remotely, fostering a culture of growth and innovation.

Benefits

Hybrid work model

Work-life balance

Growth and learning opportunities

Cutting-edge data science projects

Qualifications

• Expertise in Python and software engineering best practices.
• In-depth knowledge of machine learning algorithms and statistics.
• Experience in building and deploying Generative AI processes.

Responsibilities

• Lead projects on data and modelling for business insights.
• Engage with stakeholders to influence business decisions.
• Support colleagues through collaboration and knowledge sharing.

Skills

Python

Machine Learning

Data Analysis

Communication

Team Collaboration

Tools

Git

Docker

CI/CD

REST API

Job description

Overview

As a Senior Data Scientist at Zopa, you will be working on high impact projects related to data and modelling, across a broad range of topics such as marketing, customer engagement, credit risk, fraud detection and pricing. You will own the full lifecycle of your projects, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning model, deployment to production, and model monitoring. You will engage with senior stakeholders across the company, influence critical business decisions, and make direct impacts on our products and millions of customers. On daily basis, you will work closely with product managers, analysts, data engineers and software engineers to make progress on your project. You will also support other data scientists by knowledge sharing, code review, collaboration on common utilities and analytical infrastructure. A day in the life

Responsibilities

• Lead high impact projects related to data and modelling.
• Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning model, deployment to production and model monitoring.
• Engage with senior stakeholders across the company, influence critical business decisions, and make direct impacts on our products and millions of customers.
• Work closely with product managers, analysts, data engineers and software engineers to make progress of your project.
• Support other data scientists by knowledge sharing, code review, collaboration on common utilities and analytical infrastructure.

Qualifications

• You are a scientist. Always curious and eager to learn. You have an inquisitive mind to delve under the surface and challenge status quo. You are fearless in innovation, for the good of our customers and the world.
• You are a great communicator. You enjoy influencing decision makers with insights from data. You can foster mutual understanding and trust with stakeholders of different perspectives.
• You are a team player, striving for the success of the team and collaborate with an open mind. You have the can‑do attitude with strong commitment to get the job done.
• You have excellent Python skills, with a good understanding of the best practices in Software Engineering. You are familiar with tools such as Git, Docker, CI/CD, REST API.
• You have in-depth knowledge of machine learning algorithms (e.g. logistic regression, random forest, gradient boosted trees, neural networks, k‑means, etc) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference).
• A bonus if Experience with Causal Inference modelling.
• Domain knowledge of the financial services industry, especially consumer lending or credit risk.
• Experience in building and deploying Generative AI based processes and systems.
• You have people management experience.
• Subject to having the right to work in the country of choice.

Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities and have a DE&I forum where Zopians can make a difference.

Benefits

• Hybrid role: 2‑3 days a week in our London office, with up to 120 days of remote work per year.
• Work‑life balance and supportive culture that helps you thrive from day one.
• Access to cutting‑edge data science projects that drive 98% of our lending decisions.
• Opportunities for growth and learning in an environment that encourages unconventional thinking and high impact work.