Sr Analyst- Data Scientist

Proclink; Hyderabad, Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Proclink is seeking a driven Data Scientist to join our team in Hyderabad. The role focuses on building and validating ML models for BFSI/credit card use cases, with emphasis on clear communication of results to stakeholders.

You will translate business problems into data science approaches, validate models against performance metrics and explore advanced techniques, while staying current with evolving ML/AI methods and applying them to real-world financial domains.

Qualifications

• Experience in building, tuning, and deploying ML models.
• Experience with model validation practices (metrics, drift checks, docs).
• Strong communication to explain technical concepts.
• Structured, analytical problem-solving approach.
• Ability to work independently with strong organization.
• Quick learner eager to pick up new tools and domain knowledge.

Responsibilities

• Design, build, and validate ML models for BFSI/credit card domain.
• Perform model validation, including performance testing and documentation.
• Translate business problems into structured data science tasks.
• Communicate findings to technical and non-technical stakeholders.
• Troubleshoot data issues and model performance gaps.
• Stay current with ML/AI techniques and share ideas.

Skills

Machine Learning

Model Validation

Communication

Analytical Thinking

Independence

Fast Learner

Tools

AWS SageMaker

SHAP

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