Data Scientist

Job Description

Job Role You’ll work at the intersection of Generative AI, Machine Learning, and personal finance. You’ll partner with Product, Engineering, and Ops to: • Drive smarter decision-making using AI. • Improve customer outcomes by personalising experiences. • Launch agentic AI systems to streamline sales, support, and credit evaluation. Key Responsibilities Design, build, and deploy machine learning and generative AI models. Translate real-world business problems into data science solutions — from ideation to production. Collaborate with engineers to set up scalable data pipelines and APIs. Constantly monitor model performance and retrain as needed. Build solutions that leverage LLMs for tasks like summarization, sentiment detection, classification, and recommendations. Stay up-to-date with developments in GenAI and actively experiment with new techniques. Required Qualifications Strong foundation in machine learning, feature engineering, and model deployment. Hands-on experience implementing GenAI use cases (e.g., prompt engineering, RAG, embeddings). Proficiency in Python, SQL, and ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with LLM frameworks (LangChain, OpenAI, HuggingFace) and cloud services (AWS/GCP/Azure). Demonstrated ability to take AI models from notebook to production. Excellent communication skills and ability to collaborate cross-functionally. Preferred Qualification Prior experience in Fintech, BFSI, or working with credit and customer data. Understanding of ethical AI, data privacy, and model fairness. Familiarity with customer-facing AI products (chatbots, agentic workflows). What We Offer • A high-impact role at a company solving a real societal problem. • The opportunity to shape AI strategy and product direction from the ground up. • A culture that values curiosity, ownership, and bold thinking. Show more Show less