Data Scientist
- Pune, India
Posted 5 days ago
About the role
- Are you curious, excited by experimentation and always looking to innovate?
- Do you want to work in embedded payments where you can keep learning and developing whilst getting hands-on experience?
- Do you want to have the opportunity to play an important role in a rapidly growing and exciting Fintech business?
About Us
At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.
We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe. Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, and Mumbai.
Modulr values
- Building the extraordinary; going that extra mile.
- Owning the opportunity; be passionate and proud of the time you invest.
- Move at pace; reach goals faster whilst supported on your career journey.
- Achieve it together, working collaboratively and being a Modulite.
We are looking for a passionate Data Scientist with 2–3 years of experience to build ML/DL and Generative AI solutions for high-impact financial use cases.
Key Responsibilities:
- Develop ML/DL models for fraud detection, risk scoring, and personalization
- Build and deploy GenAI applications using LLMs
- Design and implement Agentic AI workflows
- Work with LangChain and LangGraph for orchestration
- Use tools like Claude, Cursor/CoPilot for AI-assisted development
- Implement monitoring using LangSmith
- Build APIs for model deployment
- Collaborate with cross-functional teams
- Maintain MLOps pipelines and CI/CD workflows
- 2–3 years experience in Data Science / ML / DL
- Strong Python skills
- Experience with ML frameworks (PyTorch, TensorFlow, XGBoost)
- Hands-on with GenAI, LLMs, prompt engineering
- Experience with LangChain, LangGraph
- Familiarity with Agentic AI concepts
- Exposure to tools like Claude, Cursor/CoPilot
- Experience with LangSmith for debugging/monitoring
- Knowledge of APIs, FastAPI/Flask, Docker
- Experience with MLOps tools (MLflow, DVC)
- FinTech domain experience preferred
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.