Data Scientist- BFSI

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

Interested candidates can share resume at tisha.vaghela@proclink.com