Sr. Analyst - Data Scientist

Proclink; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Proclink in Delhi is seeking a data-driven Data Scientist to design and validate machine learning models for BFSI tasks such as fraud detection and risk scoring. You will translate business problems into data science solutions and clearly communicate findings to stakeholders.

The role emphasizes independent project ownership, rigorous validation, and ongoing learning to stay ahead of ML advancements with an eye on explainability and regulatory considerations.

Qualifications

• Experience in designing, tuning and deploying ML models.
• Proficient in model validation practices and documentation.
• Strong communication to explain concepts to varied audiences.
• Structured, analytical problem-solving with independent work ethic.

Responsibilities

• Design, build, and validate ML models to solve BFSI/credit card domain problems.
• Perform rigorous model validation, performance tests, and documentation.
• Translate business problems into data science approaches and communicate findings.
• Troubleshoot data issues, model gaps, and edge cases with strong problem-solving.
• Work independently, manage multiple priorities and deadlines.
• Stay current with ML/AI techniques and share new ideas with the team.

Skills

Data science

Model validation

Communication

Problem solving

Independent work

Tools

Python

SQL

AWS

Excel

Job description

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

Required Skills

• excel
• sql
• aws
• Python