About the RoleWe 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)

- Solid 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 [email protected]

📌 Sr Analyst- Data Scientist (Ahmedabad)
🏢 Proclink
📍 Ahmedabad