Sr. Analyst - Data Scientist

Keka Technologies Private Limited; Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Keka Technologies Private Limited is seeking a driven Data Scientist to join our team. The ideal candidate will have hands-on ML experience and be able to drive analytical projects from concept to deployment, communicating results clearly to stakeholders.

Responsibilities include designing, building, and validating models for the BFSI/credit card domain, performing rigorous validation, and translating business problems into structured data science approaches while staying current with evolving

Qualifications

• Experience in building, tuning, and deploying ML models.
• Experience with model validation practices and metrics.
• Strong communication of technical concepts to diverse audiences.
• Structured, analytical problem-solving approach.
• Ability to work independently with strong organizational skills.
• Fast learner with enthusiasm for new tools and domain knowledge.

Responsibilities

• Design, build, and validate ML models for BFSI/credit card domain.
• Perform rigorous model validation with performance tests and documentation.
• Translate business problems into DS approaches and communicate findings.
• Troubleshoot data issues and model performance gaps.
• Work independently and manage multiple priorities and deadlines.
• Stay current with evolving ML techniques and share ideas.

Skills

Machine Learning

Model Validation

Communication Skills

Analytical Thinking

Time Management

Independent Work

Tools

AWS SageMaker

SHAP Explainability

Job description

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