About Swiss Re Corporate SolutionsCorporate Solutions is the commercial insurance arm of the Swiss Re Group We offer innovative insurance solutions to large and midd multinational corporations from our approximately 50 locations worldwide We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking Swiss Re Corporate Solutions embraces 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 About the RoleWithin the Corporate Solutions Data Science Centre of Excellence, we are looking for a Senior Data Scientist In this role, you will have following fundamental responsibilities:
- Work alongside a technically sophisticated team of data scientists and data engineers within our Bangalore hub
- Build up and maintain data science best practices, standards and appropriate model governance Inspiring others to raise minimum standards to a new level
- Develop and deploy advanced machine learning and AI models according to the established data science best practices
- You are expected to use a wide variety of open-source technologies
Required Skills:
- Master's degree in STEM/Economics/Statistics/Engineering Graduate strong Data/Analytical/Programming skills
- Minimum 2 years of work experience in Data Science or equivalent field
- You are someone who can conceive of pragmatic ways to take our vision to reality.
You have a good technical capability you are familiar with a range of data technologies and ideally have direct experience in working with Palantir Preferred technical capabilities: - Python, Pyspark, R, SQL and related big data technologies
- Descriptive, prescriptive and predictive modeling techniques
- Hands-on experience with analytics and data science frameworks
- You communicate clearly and simply, even when dealing with complicated problems and ideas, and do so both orally and in writing When interacting with colleagues, you adjust your communication style to meet the needs of others
- You are open-minded, intellectually curious and enjoy continually learning from a variety of sources
- Ideally, you've got experience in the insurance industry or tech company
- You demonstrate strong analytical skills and hands-on experience in analytics
- A self-starter and able to solve problems and develop solutions
We are an equal opportunity employer and value diversity at our company.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment Please contact us to request accommodation About Swiss Re Corporate SolutionsSwiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.
Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group We offer innovative insurance solutions to large and midd multinational corporations from our approximately 50 locations worldwide We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking Swiss Re Corporate Solutions embraces 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 Keywords:Reference Code:124518