Data Scientist

Description :

Must Have Skills :

- Machine learning techniques : regression, classification, clustering, deep learning.

- Programming languages : Python, R.

- Machine learning libraries : TensorFlow, scikit-learn, PyTorch.

- Data wrangling, feature engineering.

- Model validation and testing.

- Cloud platforms, distributed computing, big data technologies.

Nice to Have Skills :

- Knowledge of P&C Insurance domain.

- Experience working with US-based customers.

- Experience in leading teams or projects.

- Experience with high-performance computing.

- GenAi Skills, Experience with LLMs.

Job Responsibilities of this position :

- Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.

- Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.

- Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.

- Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplars product ecosystem, optimizing performance and efficiency across multiple teams.

- Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.

- Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.

- Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.

- Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.

Required Relevant Experience :

years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.

- Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.

- Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).

- Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.

- Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.

- Deep understanding of the P&C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.

- Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.

- Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.

- 5 years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.

Years of experience required : 3 to 5 years.

Location : Hyderabad.

Mode of work : Work of Office (All 5 days a week Work from office).