Associate Data Scientist

About the Role

The Associate Data Scientist is a core contributor within the Enterprise Data & Analytics team, responsible for solving well-defined analytical and machine learning problems through strong technical execution. You will work closely with senior data scientists and data engineers to support the development, validation, and implementation of models across use cases. The primary responsibility is to execute well-defined analytical tasks and model development activities based on clear guidance and established workflows. The role emphasizes accuracy, consistency, and disciplined validation of outputs, ensuring that models and analyses meet defined technical requirements. Over time, you will act as a foundation for developing more advanced analytical and problem-solving capabilities.

Key Responsibilities

• Analytical Modelling & Technical Delivery
• Develop, test, and implement statistical and machine learning models under guidance.
• Apply standard techniques such as regression, classification, clustering, and forecasting to pre-defined problem statements.
• Ensure models are reliable, interpretable, and aligned with defined objectives.
• Execution of Defined Analytical Tasks
• Work on clearly defined analytical problem statements provided by senior team members.
• Support hypothesis testing, feature engineering, and structured analysis under guidance.
• Perform data cleaning, transformation, and preparation for modelling.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Assess data quality issues and support data readiness for modelling.
• Validate model performance using standard metrics and evaluation techniques.
• Ensure outputs are accurate, reproducible, and aligned with defined expectations.
• Support testing and debugging of analytical models.
• GenAI & Advanced Analytics Support
• Gain exposure to structured and unstructured data, including NLP and LLM-based techniques.
• Support experimentation activities such as prompt execution, output validation, and model testing.
• Internal Collaboration & Documentation
• Work closely with data scientists and senior team members within the team.
• Follow coding standards, documentation practices, and defined development processes.
• Contribute to documentation of models, experiments, and outputs.

Requirements & Tech Stack

• Skills and Abilities:
• Basic proficiency in Python, R, or similar analytical programming languages.
• Foundational understanding of statistics and machine learning.
• Strong attention to detail and focus on accuracy.
• Structured thinking and problem-solving approach.
• Basic understanding of model evaluation and interpretation concepts.
• Commitment to high professional and ethical standards.
• Travel Requirements: Minimal Travel Required.
• Work Environment: 100% in office.

Qualifications

• Education:
• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Experience:
• 0–1 year experience.
• Academic or internship experience in analytics/data science is a plus.