Are you someone who gets excited by turning complex data into meaningful insights Do youthrive at the intersection of technology, analytics, and real-world business impact If you loveworking with large datasets, building smart solutions, and collaborating with a team ofpassionate specialists - this could be your next great adventure!

About the Role:

As a Data Scientist within our Non-Life Actuarial Reserving team, you will be at the heart of data-driven decision-making. Your work will directly support actuarial reserving processes - helpingexperts set reserves, generate insights, and communicate results to key stakeholders. You'llbring your technical expertise to life through data transformation, visualisation, and applicationdevelopment, while also contributing to exciting transformation projects that shape the future ofour systems and processes.This is a role where your curiosity, initiative, and technical skills will truly make a difference.

Key Responsibilities

- Transform and process data using Python, R, and SQL to support actuarial reservingworkflows
- Design and deliver data visualisations and reports using MS Power BI to communicateinsights clearly and effectively
- Build and maintain interactive applications using R Shiny to support actuarial teams in theirday-to-day work
- Champion data quality and governance by identifying issues, implementing standards, andensuring data integrity across processes
- Contribute to transformation projects aimed at modernising future systems and processes
- Respond to ad-hoc data and reporting requests from reserving actuaries and otherstakeholders in a timely and accurate manner




- Collaborate closely with reserving actuaries and cross-functional teams across multiplelocations to deliver impactful analytics solutions
- Identify and implement process optimisations to continuously improve efficiency andeffectiveness of data and analytics workflows

About the Team:

You will be part of the Non-Life Actuarial Reserving Data & Analytics team - a dynamic,cooperative group spread across multiple global locations. We are dedicated to deliveringinnovative data and analytics solutions, driving process optimisations, and bringing technologyexpertise to the forefront of actuarial reserving. Our team works hand-in-hand with reservingactuaries to help them set reserves with confidence, produce compelling presentation materials,and share meaningful insights with their stakeholders. We are a team that values curiosity,ownership, and continuous improvement - and we'd love to have you on board!

About You:

You are a proactive, detail-oriented professional who takes ownership of your work and is alwayslooking for ways to improve. You manage your time well, stay on top of deadlines, and canprioritise effectively even when juggling multiple tasks. You communicate clearly and confidently- whether you're presenting findings to technical colleagues or explaining complex dataconcepts to non-technical stakeholders. Above all,



you are committed to continuous learning andbring a growth mindset to everything you do.

We Are Looking for Candidates Who Meet These Requirements:

- At least 5 years of relevant work experience
- University degreein computer science, mathematics, physics, engineering, or anotherquantitative discipline
- Proficiency in Python, R, and SQLwith demonstrated experience in data transformation andanalysis
- Proficiency in MS Power BIfor data visualisation and reporting
- Proficiency in MS Excelfor data analysis and reporting tasks

These Are Additional Nice to Haves:

- Experience in re/insuranceparticularly knowledge of actuarial methods and financialaccounting - a strong plus
- Familiarity with cloud-based analytics platformssuch as Databricks or Palantir Foundry
- Experience with Apache Sparkfor large-scale data processing
- Experience with MS Azurefor cloud-based data solutions
- Experience with R Shinyfor building interactive data applications
- Experience with Gitfor version control and collaborative development
- Knowledge of additional programming languages

Our company has a hybrid work model where the expectation is that you will be in the office atleast three days per week.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords:
Reference Code:139055

📌 Data Scientist (Bengaluru)
🏢 Swiss Re
📍 Bengaluru