Bangalore, KA, IN
Data Science Specialist
Are you passionate about transforming complex data into powerful AI solutions? Join our team where you'll be at the forefront of next-generation data science innovation, creating sophisticated solutions that drive strategic business decisions and deliver measurable impact in the insurance industry.
About the Role
As a Data Science Specialist in our Corporate Solutions Advanced Data Science team, you'll harness cutting-edge technologies to transform raw, complex data into robust, scalable AIpowered systems. You'll work in a collaborative environment where your expertise will directly influence business outcomes through innovative data solutions.
Key Responsibilities
- Collaborate with a technically sophisticated team of data scientists and data engineers located within and outside Bangalore
- Translate business needs into specific quantitative questions answerable with available data using sound methodologies
- Lead end-to-end data initiatives including data ingestion, transformation, solution development, and advanced AI/ML model deployment
- Establish and maintain AI engineering and data science best practices, and model governance frameworks
- Design and develop frameworks for automated testing of data pipelines and machine learning artifacts
- Deploy models into production by building APIs or leveraging ETL pipelines
- Utilize a wide variety of open-source technologies to create innovative solutions
About the Team
The Corporate Solutions Advanced Data Science team is at the cutting edge of data innovation within Swiss Re. We develop next-generation data solutions that transform how the organization leverages information for strategic advantage. Our team combines technical excellence with business acumen to deliver AI-powered systems that drive efficiency and create competitive advantage in the re/insurance industry.
About You
You're an analytical problem-solver who thrives in collaborative environments and enjoys translating complex business challenges into data-driven solutions. You combine technical expertise with business understanding to create meaningful impact through innovative data science applications.
We are looking for candidates who meet these requirements:
- University degree in Engineering or Computer Science (or comparable education/equivalent experience), with strong programming and data analytical skills
- Minimum 3 years of work experience in Machine Learning, AI, Data engineering, big data projects
- Strong knowledge of data structures, algorithms and cloud infrastructure
- Proficiency in Python, PySpark, TypeScript/JavaScript and SQL
- Experience in end-to-end development of modern GenAI applications (RAG, intelligent document processing, chatbot solutions)
- Proven experience in designing and implementing end-to-end data pipelines and deploying ML and AI models
These are additional nice to haves:
- Hands-on experience in using Palantir Foundry's apps
- Experience with cloud platforms like AWS, Azure, or Google Cloud Experience in the re/insurance industry
- Strong communication skills and ability to explain complex technical concepts to nontechnical stakeholders
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week
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. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Reference Code: 137245