Data Scientist-New Frontiers

Overview

About the Role

The Data Scientist supports the Data & Analytics team by identifying business needs, building analytical models and tools, and developing test strategies. The role contributes to the delivery of business outcomes by supporting Senior Analysts and Lead Analysts in executing data science initiatives. The analyst is expected to apply AI/ML techniques, design models, and contribute to continuous improvement efforts across the organization.

Key Responsibilities

Primary Responsibilities

• Identify and scope business requirements and priorities through rigorous analysis and stakeholder engagement.
• Design analytical models to address current and future business needs.
• Demonstrate a solid understanding of data structures and fields required for analysis.
• Apply advanced AI/ML techniques to solve problems related to customer segmentation, risk modelling, campaign targeting, and more
• Develop test strategies and systematic procedures to validate model performance and accuracy.
• Perform feature engineering through extracting meaningful features from measured and/or derived data
• Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling.
• Analyze large datasets to identify trends, patterns, and opportunities for business growth.
• Build recommendation engines and propensity models to support cross-sell and up-sell strategies
• Validate models to ensure accuracy, stability, and compliance with regulatory guidelines.
• Present complex model outputs and insights in a clear, business-friendly manner.
• Build Stochastic and Machine learning algorithms that potentially address business problems
• Collaborate on MLOPS life cycle & experience with MLOPS workflows & traceability and versioning of datasets
• Select and apply algorithms and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes.
  
  

What We Are Looking For

Education

• Bachelor’s or Master’s degree in data science or computer science or Statistics or Economics or Mathematics or a related field.
  
  

• 2 to 5 years of relevant experience in data science, analytics, or AI/ML model development.
  
  

Skills and Attributes

• Strong proficiency in machine learning, statistical modelling, and algorithm development.
• Experience with data science tools and programming languages (e.g., Python, R, Spark).
• Ability to translate business problems into analytical solutions.
• Strong communication and stakeholder management skills.
• Innovative mindset with a focus on continuous improvement and emerging technologies.
  
  

Key Success Metrics

• Development and deployment of analytical models and tools.
• Successful implementation of models aligned with business objectives.