Data Scientist
Bangalore, KA, IN
Data Scientist, Data Analytics CoE – Risk Consulting & Analytics, Solutions, Bengaluru
The role entails collaborating with risk consultants, product managers across multiple regions in the Risk Consulting domain and generating actionable business knowledge for the clients across the globe.
About the Role
• The ideal candidate would deliver insights for the risk consulting engagements by leveraging data analytics and/or ML or statistical modelling
• Perform extensive exploratory data analysis on structured and unstructured data from multiple sources to identify trends, relationships and ultimately generate high quality data and insights to enrich our offerings/analyses
• Develop / maintain predictive/prescriptive models for refinement/extension of Swiss Re Solutions Risk Consulting & Analytics tools/offerings
• Design, develop and maintain interactive dashboards and visualizations that help in effectively communicating complex data driven insights to non-technical stake holders.
• Work closely with cross-functional teams, including risk consultants, project managers and business management teams to align data science and analytics efforts with business goals.
• Locate and define new process improvement opportunities and automate where possible
About the Team
'Solutions' is a central pillar of the reinsurance strategy, critical both to development of our core activities as well as developing new revenue streams for Swiss Re. The Risk Consulting & Analytics (RCA) team within the Solutions Division is globally responsible for delivering consulting services to our clients. We unlock the power of data by providing insights and advice to our clients along the entire insurance value chain and partner to realize their strategic ambitions of growth, profitability, and efficiency. Our typical client work centers on profitable growth, product development, pricing, underwriting, risk scoring and selection and claims. Combining Swiss Re’s unparalleled industry expertise, wealth of data and groundbreaking data analytics capabilities, we offer trusted, impactful, and commercially valued insights at the forefront of innovation and grounded on Swiss Re’s core values. The Data Analytics CoE team reports into Head, Risk Consulting & Analytics (RCA) office. The team works very closely alongside different regional RCA teams and leverages its machine learning and data analytics expertise to deliver consulting services.
About You
We are looking for highly motivated candidates who exhibit strong communication skills, are able to proactively work with a high degree of autonomy with strong interpersonal skills, and could networkeffectively in an interdisciplinary, multi-cultural & client delivery focused environment. Stakeholder management skills are an added advantage.
Additional Requirements:
• 6+ Years of experience in the data science field with a Bachelors or Master's degree in quantitative field
• Preferred working experience in the general insurance sector, especially Casualty, Commercial or Specialty Insurance (e.g., Marine / Hull, Cyber) lines of business.
• A fair understanding of ML algorithms and classification/regression techniques
• Ability to communicate complex data insights in a clear and concise manner
• Proficiency in SQL, Python, and Spark for data processing and transformation.
• Good command on visualization tools to build dashboards based on Power BI
• Ability to produce high-quality, secure, and maintainable code in an agile environment (GIT etc.,)
• Ability to handle unstructured data, perform entity resolution, fuzzy mapping etc. will be a plus
• Exposure to working in consulting projects and proven ability to work with customers and collaborate across departments.
• Good to have prior experience with MS Azure platform and services (Data bricks, ADF and Power BI)
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.
Keywords:
Reference Code: 133214
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Classification Consulting Data analysis Data Analytics Databricks EDA Git Machine Learning Power BI Python Spark SQL Statistics Unstructured data
Perks/benefits: Career development Flex hours
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