About the Role 

As a Junior Data Scientist, you will be responsible to help senior team members in building Data Science Solutions for the assigned line of business. You will be required to do Exploratory Data analysis, statistical & Machine learning modelling, Correlation analysis to understand the data. You will work with Senior team members and stakeholders in Underwriting, Claims and Data Engineering teams to help in building Data Science Solutions. You must be willing to learn and use advanced analytical methods and data science techniques to help develop insight on trends to forecast in future as well as predictive analysis, helping improve the predictability and accuracy of costing the model. You will have a direct impact in helping steer the Data science solutions and ultimately the overall Business Unit's performance

About the team

The APM Data Science team comprised of a mix of highly experienced members already entrenched in advanced analytics and highly motivated newer members who thrives in a dynamic and fast learning environment.  This team reports into the Chief Underwriting Officer and is part of  Actuarial Portfolio Management Unit.

Main responsibilities

Data Understanding & Driving Insights

• Work with senior team members to help build a clear and independent view on the internal/external data along with effective visualizations and recommendations.
• Understand business requirement & translate details into impactful technical requirements.

Advanced Data Analytics

• Help and work with senior team members to build Data science solutions, involving:
  • Develop, Validate, Deploy and Maintain ML Models
  • Build interactive dashboards using Palantir Foundry
  • Present your findings & convince business using explainability & other techniques.
• Willing to learn and use Gen AI techniques to develop insights and trends that can be used for risk selection or differentiation; and costing improvements. 

About you

Professional experience

• A minimum of 1-4 years of experience in Data Science. Knowledge of big data technologies or platforms like Azure / Databricks / Palantir Foundry would be an additional advantage
• You have experience in – building Machine Learning models, predictive & statistical modelling, time series forecasting, regression, classification. Know-how of Gen AI & LLMs would be an additional advantage.
• You are reasonably familiar with building Data Engineering Pipelines & Data wrangling techniques.

Technical skills

• You have highly developed problem solving and analytical skills. You can translate the data insights into effective visualizations for high impact communication.
• You have applied these skills using real business data to develop insights and practical solutions.
• You have a good understanding/ willing to learn advanced ML methods and related hyperparameter tuning/ how to avoid overfitting techniques.
• You have statistical programming skills (e.g. Phyton, R for Data Science) & SQL
• You are able to quickly learn big data platforms like Azure Data bricks / Palantir Foundry

Personal Skills

• You are motivated to focus executing on delivering high quality results on time
• You can articulate and communicate your work effectively and be comfortable in presenting your work to senior team members and leaders
• You work for the collective success of the team in close collaboration with senior team members. You are open and dependable; and demonstrate collaboration and intercultural competence. 

Educational level

• Bachelor's/ Master's degree in Data Science, IT , Mathematics, Statistics, or equivalent statistical fields
• Data science course completion certificate

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.