Data Scientist

Job opportunity for data science professionals with largest global insurance organisation. Experience - 5-10 years Location - Bangalore/Hyderabad This role is responsible for conducting robust quantitative and statistical analysis of our insurance product offerings and portfolio. The role involves leveraging complex data sets to identify trends, patterns and insights that serve to improve business development, design, and evaluation of new products, and evaluate external data. Key Accountabilities & Responsibilities • Analyze large datasets using advanced statistical methods to uncover trends, patterns, gaps, and insights that can be leveraged for business growth, renewals, and/or claims optimization. • Collaborate with cross-functional teams to understand business objectives and identify areas where data-driven solutions can drive revenue growth, renewals, and/or claims efficiency. • Design and implement experiments to test hypotheses and analyse the impact of various factors on business performance, renewals, and claims outcomes. • Develop machine learning models to automate decision-making processes and improve operational efficiency. • Create data visualizations and communicate findings to stakeholders in a clear and concise manner, providing insights for business decision-making. • Stay up to date with the latest advancements in data science and actively seek opportunities to apply new techniques and tools to enhance business opportunities. • Work closely with data engineering teams to optimize data storage, retrieval, and processing, ensuring efficient handling of datasets. • Work closely with machine learning engineers to facilitate the seamless deployment of models. Skills & Experience • Bachelor’s degree (or equivalent) in actuarial science, mathematics, computer science, economics, or statistics. • 5+ years of related practical experience. • Strong programming skills in languages like SQL, Python or R for data manipulation and analysis. • Proficiency in machine learning techniques such as regression, clustering, and recommendation systems. • Excellent communication skills to effectively present complex findings to both technical and non-technical stakeholders. • Preferred: o Solid understanding of insurance industry dynamics and business processes. o Experience with AI libraries & frameworks such as like TensorFlow and PyTorch. o Experience with data visualization tools such as Qlikview, Tableau or Power BI. o Experience with data mining and web scraping. Show more Show less