Valiance Solutions - Data Scientist - Insurance Domain

About Us

Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation.

We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc.

Our team comprises 70+ professionals across Machine Learning, Data Engineering & Cloud expertise.

Requirement:

- Master's or Ph.D. in Computer Science, Statistics, or a related field.

- 7+ years of relevant experience as Senior (or lead) Data Scientist.

- Proficient in statistical modeling, machine learning algorithms, and data manipulation techniques relevant to insurance analytics.

- Experience in deploying models to production, ensuring scalability, reliability, and integration with existing business processes.

- Previous background in working with AI/ML models with Insurance industry.

- Proficiency in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch).

- Familiarity with big data platforms (e.g., databricks, Hadoop, Spark) for handling and analyzing large datasets efficiently.

- Solid understanding of data management, governance, and security.

- Knowledge of regulatory compliance in AI/ML practices.

Required Product/project Knowledge:

- Understanding of the insurance industry and its processes.

- Knowledge of data science, statistics and machine learning applications in the insurance domain

Required Skills:

- Programming: Proficient in Python.

- Tools/Frameworks: Experience with 3 out of DataBricks, ML Flow, TensorFlow, PyTorch, GPT, LLM and other relevant tools.

- Strategic Thinking: Develop and execute AI/ML strategies aligned with business objectives.

- Evaluation: Assess applicability of AI/ML technologies and recommend tools/frameworks

Common Tasks:

- Collaborate with product managers, customers, and other stakeholders.

- Implement monitoring systems for model performance.

- Evaluate and recommend AI/ML technologies.

- Oversee model development from ideation to deployment.

- Collaborate with IT and data governance teams