Senior Data Scientist

Zopa Bank Limited
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.