Data Scientist – Analyst

Role Purpose

The Data Scientist will be responsible for extracting actionable insights from complex data sets to support data-driven decision-making across the organization. This role will design, develop, and implement advanced analytical models and machine learning solutions to solve business challenges, optimize processes, and drive growth.

Key Responsibilities

• Build, validate, and deploy ML propensity and recommendation models using Databricks.

• Develop and maintain robust data pipelines for model training, scoring, and reporting.

• Design and execute AB tests for incentives and pricing; analyze results and provide actionable insights.

• Collaborate with business to gather requirements and request relevant data.

• Work closely with channel teams (OBTM, F2F, Digital) to translate analytics into business actions.

• Demonstrate a bias to action by rapidly prototyping and iterating on solutions.

• Document methodologies, code, and results for reproducibility and knowledge sharing.

• Bachelor’s degree in Statistics, Computer Science, Engineering, or related field.

• 2–3 years of experience in data science, analytics, or related field.

• Experience in insurance, banking, or fintech analytics. (Preferred)

• Hands-on experience with Databricks for data processing, ML modeling, and experiment management.

• Strong Python and SQL skills

• Experience designing and analyzing AB tests for incentives and pricing.

• Proficiency in building job pipelines in Databricks.

• Strong analytical and problem-solving skills; results-oriented mindset.

• Ability to work in a team vs being a personal superstar

Effective communicator, able to explain technical concepts to non-technical stakeholders.