Senior Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA)

Min Experience: 2 years

Location: Bengaluru

JobType: full-time

As a Senior Data Scientist, you will leverage AI/ML techniques to solve complex problems across credit risk, fraud detection, business optimization, collections, and customer service. You will play a pivotal role in managing the end-to-end model lifecycle—from development and validation to implementation, monitoring, and updates. Working closely with leadership and cross-functional teams, you will drive data-driven decision-making and innovation.

Requirements

Key Responsibilities:

• Develop and implement AI/ML models to address business challenges across various functions.
• Own the complete model lifecycle, including building, validating, deploying, monitoring, and refining models.
• Mentor and train junior team members, fostering a culture of learning and technical excellence.

What We’re Looking For:

• Proven Expertise in AI/ML: Strong experience in developing supervised and unsupervised learning models using structured and unstructured data. Experience with risk scorecards, propensity models, optimization, NLP, etc.
• Advanced Coding Skills: Proficiency in Python (mandatory) and SQL for data processing and model development.
• Strategic & Analytical Thinking: Strong logical reasoning, analytical skills, and a structured approach to problem-solving.
• Strong Communication Skills: Excellent written and verbal communication, with the ability to engage and collaborate with stakeholders.
• Self-Starter: Comfortable working in an ambiguous environment and taking ownership of complex challenges.
• Mentorship Ability: Experience in guiding and training junior data scientists.

Preferred Qualifications & Experience:

• 2 to 5 years of experience in AI/ML, data science, or model development.
• Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Economics, or Operations Research from a Tier 1 institution.
• Hands-on experience in the financial domain, with expertise in developing models for risk assessment, fraud detection, or related areas.

Key Skills:

• AI/ML
• Python
• SQL