Data Scientist

Description :

Job Title : Data Scientist

Location : Hyderabad

Target Start Date : ASAP

Work Hours : US-overlap working hours required (up to 1 : 302 : 00 AM IST)

Role Overview :

We are seeking an experienced Data Scientist to design, develop, and deploy scalable AI/ML solutions that drive meaningful business outcomes.

This role involves close collaboration with senior stakeholders, cross-functional teams, and US-based customers to deliver enterprise-grade predictive models and data-driven insights.

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 : Python, R, TensorFlow, scikit-learn, PyTorch

Cloud & Big Data : Distributed computing platforms, big data technologies

Project Tools : Jira, MS Office

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.