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Bangalore, KA, IN

Data Scientist Computer Vision


About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?


About the role

SwissRe is looking for a data scientist with ~5 years of experience in working with big data tools and on machine learning/AI model development for innovative products. Python is required but any other language used in model development is welcomed. Experience in developing visual intelligence and image recognition algorithm is mandatory.


The ideal candidate has a strong background in data science model deployment, math, statistics, physics or any other computationally intense disciplines and working experience in computer science/engineering.


About the team

We are seeking a motivated candidate with passion for technology to be a part of Analytics team that develops innovative solutions in telematics, motor and beyond. The team is top notch and lies in the Automotive and Mobility solutions department in the Property and Casualty Reinsurance business. Activities varies from digital signal processing analysis, more advanced AI modelling on time series, model development on tabular data coming from clients and claims analysis through images.



About You



PhD in scientific fields + 2 years+ of experience, OR BTech/M Tech with 5 years, but no more than 8 years.

2 or more years of relevant experience in development of machine learning and AI models using computer vision.

Statistical modeling

Hands-on experience in implementation, performance tuning and machine learning model deployment

Experience with scripting languages (Python/R/Matlab)

Fluency in English is mandatory.

Good organizational and time management skills


Nice to have:


Having developed or involved in automobile photo-damage assessment & claims fraud detection use cases, using ML + Computer vision models

Insurance industry experience.

Knowledge of big data tools and framework like Hadoop, Spark etc…

Experience in working for companies with Headqaurtes in other continents


Behavioral Competences

Team player with a ‘can do’ attitude

Ability to work in an interdisciplinary and multi-cultural environment

High degree of flexibility, independent and proactive working style

Ability to work well under pressure and on multiple and conflicting priorities

Strong commitment to quality and details



Multi-lingual is a plus (English + any European language )

Flexibility to traveling-depth knowledge/experience in the Insurance or Reinsurance domains

Reference Code: 107351 


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