Data Science Solutions Engineer

About the role & team  

Asset Management's Tech Transformation is our strategic program to modernise the tech platform and empower our business users with better tools and data, delivering on our digital vision. We selectively combine transactional and analytics data platforms to provide innovative, secure and cost aware technology services. 

  

If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:  

• Help us analyze signals in financial markets using Generative AI, 

• Co-create advanced data and AI services in cross functional teams, 

• Constantly grow our data foundation platform and apply leading edge concepts, such as metadata or graphs 

• Support many other exciting projects in a collaborative environment with colleagues from Swiss Re Asset Management's international offices.  

  

Joining us, you will learn the technologies that are used in modern data science products with a focus on cloud technology and distributed systems, but also gain experience in the application of generative AI to solve complex problems on real data.  

 

As part of Swiss Re's Asset Management CTO organization, we work in a scaled agile model with a shared leadership team and broadly aligned autonomy for our squads. We are located across the globe but share the same values of passion, openness, respect, humility, and curiosity in our team. We are a highly skilled and diverse global team. We love to learn new skills and will support you to do the same! We strive to improve the quality of our work for our customers every day. As a matter of trust, we give you a high degree of flexibility which matches your independent working style. Is this for you? Then we want to get to know you! 

 

INFORMATION ABOUT THE SELECTION PROCESS  

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.  

  

About You:  

  

To be successful in the role, you need to have these technical skills and knowledge:  

• Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates 

• Knowledge of Python and/or R programming languages 

• Knowledge in machine learning, statistical modelling and related technologies 

  

If you also have the following experience and interests, it is a huge plus:  

• Background in software engineering  

• Experience in distributed computing 

• Interest in Generative AI and Natural Language Processing 

  

Thank you for taking the time to read our job advertisement. We look forward to getting to know you!  

 

For Slovakia the base salary range for this position is between EUR 2,300 and EUR 3,800 per month (for a full-time role).

The specific salary offered considers:

-the requirements, scope, complexity and responsibilities of the role,

-the applicant’s own profile including education/qualifications, expertise, specialization, skills and experience.

 

In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.

 

 

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. 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.

 

 

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Reference Code: 131387