Lead Data Scientist

We're looking for an experienced Lead Data Scientist to join our Insurtech team in Hyderabad and drive impactful, data-driven solutions. In this role, you'll lead and mentor a team of talented engineers, guiding the development and deployment of scalable machine learning models. You'll collaborate across teams to structure data, generate insights, and ensure real-world impact. Join us to shape the future of insurance technology through innovation and leadership.

What we’re looking for:

● Proven experience as a Lead Data Scientist, Machine Learning Engineer, or in a similar role, with

a strong track record of leading and mentoring technical teams.

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related

field.

Demonstrated success in leading teams that have designed,, deployed, and scaled machine

learning models that deliver measurable business value.

● Deep expertise in machine learning, deep learning, and data mining techniques within

enterprise environments.

● Hands-on experience with natural language processing (NLP) and data extraction tools.

● Proficiency in Python (or similar languages) and familiarity with libraries such as Scikit-learn,

TensorFlow, and PyTorch.

● Strong grasp of MLOps practices, including model lifecycle management and scalable

deployment.

● Excellent analytical and leadership skills, with the ability to translate data into actionable

business insights and align ML initiatives with strategic goals.

● Prior experience in the insurance domain is a plus, but not required.

What You’ll be doing:

● Lead and mentor a team of Machine Learning Engineers, driving the development of scalable,

real-world AI solutions.

● Oversee the full ML model lifecycle - from development and training to deployment, monitoring,

and maintenance in production.

● Guide the structuring, analysis, and interpretation of data to deliver actionable insights that

support business decisions.

● Collaborate with cross-functional teams to align machine learning initiatives with strategic

business goals.

● Apply deep expertise in ML and NLP to advance our Intelligent Document Processing platform,

including tasks like text extraction, classification, and semantic analysis.

● Implement MLOps best practices to ensure reliable model deployment and performance at

scale.

● Stay ahead of emerging technologies, continuously experimenting to enhance our AI

capabilities.

● Foster a culture of innovation and communicate complex technical concepts clearly to diverse

stakeholders.

What we offer:

Work-Life Balance

Vacation and Paid Time Off

Weekday Working hours

Hybrid work environment

Paternity Leave & Wedding Time Off

Team buildings

Professional Development

Role Integration program

Continuous education

Education Day Off

Financial and Health Benefits

Private Health Insurance

Performance-based bonuses

Transportation allowance

Birthday Gifts

New Year Gifts

CANDIDATES ARE INVITED TO APPLY WITH UPDATED RESUMES.