Data Scientist

Description

Job Title :

Location :

Target Start Date :

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Role Overview

Key Responsibilities

• Design, architect, and develop AI/ML predictive models using enterprise and industry data to enhance business decision-making.
• Engage with senior executives and key stakeholders to understand business objectives, data needs, and success metrics, ensuring solutions deliver measurable value.
• Lead the implementation, testing, validation, and deployment of machine learning models that are accurate, scalable, reliable, and production-ready.
• Collaborate with product managers, engineers, and data scientists to integrate AI/ML models into production applications and product ecosystems.
• Analyze complex structured and unstructured datasets to generate actionable insights and improve model performance.
• Define and manage data requirements, data quality checks, and end-to-end data pipelines including extraction, transformation, and integration.
• Stay current with emerging AI/ML trends, research, and best practices, incorporating innovations into solution design where applicable.
• Drive technical direction for AI/ML initiatives, mentor junior team members, and promote best practices and continuous improvement.
• Partner with frontend, mid-tier, and backend teams to ensure effective deployment and real-world impact of AI/ML solutions.
• Independently solve complex and ambiguous problems, applying strong theoretical and practical ML expertise.
  

Required Skills & Experience

• 5+ years of hands-on experience developing and deploying AI/ML predictive models in production environments.
• Strong expertise in machine learning techniques including regression, classification, clustering, time series analysis, and deep learning.
• Advanced proficiency in Python and/or R, with extensive experience using ML libraries such as TensorFlow, scikit-learn, and PyTorch.
• Solid experience in data wrangling, feature engineering, model validation, and testing across large, complex datasets.
• Hands-on experience with cloud platforms, distributed computing, and big data technologies.
• Proven ability to build robust, scalable, and high-performance models for enterprise use cases.
• Strong communication skills with the ability to explain complex technical concepts to senior, non-technical stakeholders.
  

Domain & Preferred Experience

• Strong knowledge of the P&C Insurance domain, including claims prediction, risk modeling, pricing optimization, or customer segmentation.
• Experience working with US-based customers and stakeholders.
• Exposure to high-performance computing environments.
• Experience leading technical initiatives, mentoring team members, or guiding projects.
• Experience with GenAI solutions and Large Language Models (LLMs) is a plus.
  

Tools & Platforms

Programming & ML :

Cloud & Big Data :

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Soft Skills

• Strong analytical and problem-solving mindset.
• Ability to work independently in a fast-paced, dynamic environment.
• Excellent written and verbal communication skills.
• Strong collaboration skills with cross-functional and global teams.
• Strategic thinker with a proactive and customer-focused approach.
  

Education

• Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Advanced degree is a plus.