Data Scientist

Job Title- Senior Actuarial Data Scientist

Position type- Full Time

Work Location- Bangalore & Mumbai

Working style- Hybrid

Shift Time- 12:30 PM to 9:30 PM (IST)

People Manager role: No

Required education and certifications critical for the role-

Graduates, Actuarial qualifications preferred

Required years of experience – 5- 9 years

Actuarial Data Scientist

Are you ready to revolutionise the insurance industry by combining actuarial expertise with cutting-edge data science techniques If so, this may be the opportunity for you. This role offers a unique chance to apply actuarial methodologies alongside advanced data science technologies, creating innovative solutions for complex insurance challenges.

If you are a motivated Actuarial Data Scientist with a passion for innovation and a desire to make a difference, we encourage you to apply and join our team at Aon.

AON IS IN THE BUSINESS OF BETTER DECISIONS

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are committed as one firm to our purpose, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed.

INFORMATION ABOUT THE BUSINESS

Aon Health and Benefits takes a long-term view of benefits management that aims to help companies achieve a balance between using benefits as a retention tool and managing escalating costs. These offerings include end-to-end solutions to benefits management, alignment of your benefit plans with corporate strategy and policies, considerable purchasing leverage, systematic and structured approach.

GENERAL DESCRIPTION OF ROLE:

As a Senior Actuarial Data Scientist, you'll play a key part in Aon's Risk Analyzers team, helping shape the future of actuarial analytics. This role combines deep actuarial expertise with advanced data science skills, focusing on building scalable models and pipelines that analyze large, complex datasets. You'll work at the intersection of technology and business, partnering with a wide range of stakeholders—from actuaries and developers to business leaders—to deliver innovative solutions that inform strategic decision-making. The position offers the opportunity to be involved in all aspects of the project lifecycle, from initial concept to implementation, in a collaborative and fast-paced environment.

JOB RESPONSIBILITIES :

• Build sophisticated actuarial code, models, and Monte Carlo simulations for risk analysis using Python or PySpark, deployed on Databricks
• Optimize end-to-end data pipelines for performance, reliability, and scalability—ensuring efficient processing across datasets of all sizes.
• Partner with actuaries, application developers, business leaders, and non-technical stakeholders—translating technical insights to actionable solutions
• Contribute through the entire project lifecycle, from requirements gathering to deployment and stakeholder training
• Document processes, data flows, and models to enable reuse and clarity for other team members
• Keep abreast of the latest technologies and methods in data engineering and actuarial science—bringing innovative ideas forward

SKILLS/COMPETENCIES REQUIRED :

• Experience working in or collaborating with actuarial teams in general insurance with experience of statistical modelling/actuarial modelling using data science techniques
• Actuarial knowledge of frequency and severity modelling as it relates to general insurance and motivated to use this knowledge in combination with data science models to build new solutions
• Experience with PySpark and using Databricks for large data pipelines.
• Ability to convey complex models and new technologies to non-technical audiences
• Motivated to be at the cutting edge of technology and data science building new solutions to unsolved problems in the insurance sector
• Excellent communicator (both verbally and in writing) with internal and external clients
• Track record of optimizing code and pipelines for speed, efficiency, and scalability