Data Scientist

About Modulr
At Modulr our mission is to move money efficiently to power business productivity. We are building a new digital payments service to make money flow more efficiently through businesses and the economy. This is a new type of payments account that is built for businesses that need faster, easier and more reliable ways to move money.

Our flexible platform and innovate approach allows our customers to utilise our payments account instead of a traditional bank account. Our accounts come with a sort code and account number, access to payment systems (eg Faster Payments and Visa) and everything our customers need from a payments account. They can instantly open as many accounts as they need, automate how they make and receive payments as well as the reconciliation processes these create. All in real time, 24/7 through their own systems utilising our API that integrates into any platform.

Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by payments giants PayPal Ventures and FIS Ventures, as well as startup and scale up specialists Blenheim Chalcot, General Atlantic, Frog and Highland Europe which enables us to leverage their resources and expertise to drive our growth initiatives. These partnerships provide us with the necessary provisions to propel our business to new heights.

Modulr values

• Building the extraordinary and going that extra mile
• Owning the opportunity, be passionate and proud of the time you invest
• Move at pace, reach your goals faster with us supporting you each step of the way
• Achieve it together, working as a team and being Modulite

In this role you will work in a cross-functional team who are asked to solve a problem, rather than be handed a task to do. This is an excellent opportunity to work in a high-growth environment with a fast-paced and collaborative culture where you will have great opportunities to work on challenging problems. You will be employed by Blenheim Chalcot supporting Modulr with their exciting growth plans.

The Tech Team
We are looking for a passionate and results-driven Data Scientist with 2–3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation.

You should have strong Python programming skills, hands-on experience with end-to-end ML/DL model development, MLOps deployment, Experience building and exposing APIs for model interaction and integration with production systems is essential.

• Key Responsibilities:
• Design, develop, and deploy ML/DL models for FinTech use cases (e.g., fraud detection, customer risk classification, churn prediction).
• Handle and process large, highly imbalanced datasets using advanced resampling, cost-sensitive learning, or anomaly detection techniques.
• Implement and automate MLOps pipelines for training, testing, monitoring, and deploying models to production (e.g., using MLflow or Kubeflow).
• Build APIs and backend interfaces for seamless model consumption in production applications.
• Collaborate closely with Data Engineers, Product Managers, and Frontend Developers to operationalize ML solutions.
• Document model assumptions, performance metrics, and testing methodology for audit and compliance readiness.
• Contribute to continuous model monitoring and re-training pipelines to ensure production accuracy and relevance.
• Stay current on emerging ML and GenAI techniques (exposure to GenAI is a plus but not mandatory).
• Key Requirements:
• 2–3 years of hands-on experience in data science/machine learning/Deep Learning developer role.
• Domain experience in FinTech, payments, or financial services (mandatory).
• Proficiency in Python and popular ML/DL libraries: scikit-learn, XGBoost, TensorFlow, PyTorch.
• Experience with model deployment, Docker, FastAPI/Flask, and building APIs.
• Experience with MLOps tools (e.g., MLflow, DVC).
• Strong knowledge of data preprocessing, feature engineering, and model evaluation
• Familiarity with version control (Git), CI/CD workflows, and agile practices.
• Strong communication and documentation skills.

ModInclusion
We believe that by seeing Modulr, and the world, from all sorts of angles, we can make life better for all. We want you to know that the things that make you, you — like your identity, age, ability, and background — are things that we will always celebrate and support with open arms. As such, we are keen to maximise the diversity of our workforce and actively encourage applications from anyone and everyone.

By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing – but please note that this means we will no longer consider you for the role you have applied for.