Build, tune, deploy, and validate machine learning models for fraud detection, risk scoring, and customer analytics in the BFSI and credit card domain. The role involves performance and stability testing, documentation, troubleshooting data and model issues, communicating findings to varied stakeholders, managing analytical projects independently, and staying current with emerging AI and ML techniques.
About the Role
We are looking for a driven and detail-oriented Data Scientist to join our team. The ideal candidate will bring strong hands-on experience in Machine Learning and model validation. This role requires someone who can independently drive analytical projects, communicate findings clearly to stakeholders, and continuously learn and adapt in a fast-paced environment.
Key Responsibilities
- Design, build, and validate machine learning models to solve business problems within the BFSI / credit card domain (e.g., fraud detection, risk scoring, customer behavior analytics)
- Perform rigorous model validation, including performance testing, stability checks, and documentation to meet internal and regulatory standards
- Translate business problems into structured data science approaches, and communicate technical findings to both technical and non-technical stakeholders
- Apply strong problem-solving skills to troubleshoot data issues, model performance gaps, and business edge cases
- Work independently with minimal supervision, managing multiple priorities and deadlines with strong organizational discipline
- Stay current with evolving ML/AI techniques and proactively bring new ideas and approaches to the team
Required Qualifications
- Proven experience in Machine Learning - building, tuning, and deploying models
- Experience with model validation practices (performance metrics, stability/drift checks, documentation)
- Strong communication skills, able to explain technical concepts to varied audiences
- Strong problem-solving ability with a structured, analytical approach
- Strong organizational skills and ability to manage work independently
- A quick learner with genuine enthusiasm for picking up new tools, techniques, and domain knowledge
Preferred (Good to Have)
- Experience with AI techniques/tools beyond traditional ML (e.g., LLMs, generative AI applications)
- Background or working understanding of the BFSI / Credit Card business
- Familiarity with cloud-based ML platforms (e.g., AWS SageMaker) and explainability techniques (e.g., SHAP)
- Exposure to regulatory/compliance considerations in financial model development
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Owns the enterprise architecture and hands-on implementation of Coursera’s agentic AI foundation. Designs agent orchestration, context and semantic architectures, governance, security, CI/CD automation, cost optimization, integrations, observability, and production standards. Enables business teams to build reliable AI-native workflows at scale while partnering with Engineering, IT, Data, Security, and business pods. The role also includes hiring, coaching, technical leadership development, and defining operating models and adoption metrics.
Top Skills:
Agentic AiAPIsCi/CdCloud InfrastructureLanggraphLlmsModel Context Protocol (Mcp)RagSemantic Search
Information Technology
Design end-to-end digital product experiences through user research, interaction design, wireframing, prototyping, visual design, and design systems. Collaborate with product, engineering, and business stakeholders to create accessible, responsive web and mobile interfaces. Conduct usability testing, incorporate feedback and analytics, present design concepts, and support accurate implementation across multiple initiatives.
Top Skills:
A/B TestingAdobe Creative SuiteComponent LibrariesCSSDesign SystemsFigjamFigmaHTMLProduct AnalyticsWcag
Information Technology
Lead the design and development of scalable full-stack applications powered by Generative AI and LLMs. Build RAG pipelines, agentic workflows, and AI applications using React, Node.js, LangChain, and LangGraph. Integrate LLMs with APIs, databases, and enterprise systems while ensuring security, reliability, and production readiness. Provide architecture guidance, conduct code reviews, mentor developers, troubleshoot issues, and lead solutions from design through deployment and support.
Top Skills:
AnthropicAzure OpenaiEmbeddingsGenerative AiJavaScriptLangchainLanggraphLarge Language Models (Llms)MicroservicesNode.jsOpenaiPythonRagReactRest ApisSemantic SearchTypescriptVector Databases
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
