Data Scientist

You will help solve problems across credit/fraud risk, business, collections, customer service, etc, through AI/ML techniques. As a key member of the team, you work closely with leadership and business/functional units to manage the model lifecycle of build, validate, implement, monitor, and update.

Responsibilities:

• Solve business problems across all functions using AI/ML with quantifiable outcomes.
• End-to-end ownership of model lifecycle management.
• Team management and stakeholder management.

Requirements:

• Demonstrable Modelling experience: In-depth understanding of model building and model lifecycle management across supervised and unsupervised learning using structured and unstructured data. (e. g. Risk Scorecard, Propensity models, Optimisation, NLP, etc. )
• Excellent coding skills: Python coding (a must-have skill) and developing SQL queries.
• Strategic and Analytical Orientation: Exceptional Logical, Analytical, and Reasoning skills complemented by rigour and a strong quantitative orientation.
• Strong communication and stakeholder management skills: Impeccable written and oral communications with the ability to manage stakeholder engagement.
• Strong business judgment and integrity: Should be a tenacious problem solver with good judgment and an open-minded approach. One who pushes the envelope but is rooted in ground reality.
• Self-driven: Motivated and comfortable with ambiguity.
• Team management: Ability to manage and mentor team members.

Skills

NLP, modeling, modelling, propensity, python, scorecard, supervised, unsupervised