Senior Data Scientist

About The Role

We are looking for a Senior Data Scientist to join our fast-paced insurance and safety analytics team. You will work closely with data engineering and insurance domain experts to design and implement cutting-edge risk and safety models. This role involves working with large, high-dimensional datasets and leveraging machine learning and predictive modeling to deliver data-driven solutions that impact the insurance industry.

Responsibilities

Extract actionable insights from time-series and large-scale datasets to improve customer safety and reduce risk.Collaborate with insurance domain teams to develop and validate advanced risk models.Standardize analysis methodologies and build scalable automation frameworks for data processing and model evaluation.Design and implement robust data quality checks for large high-dimensional datasets.Apply advanced statistical and machine learning techniques to solve unsolved problems in insurance and risk assessment.Communicate findings clearly with both technical and non-technical stakeholders.Mentor junior team members and contribute to building best practices in data science.

Qualifications

Graduate/Postgraduate degree from a reputed institute (IIT/NIIT preferred) in a quantitative discipline (Statistics, Mathematics, Computer Science, Data Science, or related).5+ years of hands-on industry experience applying advanced data science techniques to real-world problems.Strong expertise in predictive modeling, probability theory, statistical inference, and machine learning.Excellent programming skills with Python and modern ML/DS libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).Demonstrated experience in building, validating, and deploying machine learning/statistical models.Strong problem-solving, analytical thinking, and communication skills.Experience working with time-series data and real-world noisy datasets is highly desirable.Match thisSkills: predictive modeling,machine learning,data science