Machine Learning Engineering Intern

About The Crew: 

 

This position is throughout the Knowledge Pushed Underwriting (DDUW) Options Americas staff underneath Swiss re L&H Options division. You can be becoming a member of the DDUW product staff who’s on a mission to create a best-in-class resolution in underwriting for Life Insurance coverage carriers to deal with the present business ache factors with disparate knowledge sources within the US market. The staff has various skillsets of consultants from underwriting, and know-how and the staff work collaboratively with cross purposeful supply groups throughout the globe. 

  

About The Position: 

 

As a Machine studying Engineering Intern, you’ll be part of a Product staff of software program engineers, underwriting consultants and enterprise leaders to work on a worldwide strategic initiative to make higher use of our knowledge and improve our means to make knowledge pushed choices. You’ll work intently with enterprise companions to search out alternatives for leveraging knowledge to drive enterprise options, perceive the enterprise drawback and extract related developments and patterns from knowledge. 

Additionally, you will help the Analytics reporting device creation which straight drives product insights. 

  

About You: 

Are you desirous to disrupt the insurance coverage business with us and make an influence? Do you want your expertise acknowledged and rewarded? Then be part of our inside start-up squad and discover an encouraging setting through which we aspire for shopper delight and make it occur for Options! 

• At present enrolled in an accredited program at a school or college with a give attention to knowledge science/analytics, pc science, computational linguistics or associated subject. 

• Should be obtainable for the Summer time 2024 time period (Could – Aug) 

• Robust communication and teamwork expertise 

• Publicity or expertise in areas similar to data retrieval, pure language processing, knowledge analytics and data visualization. 

• Fundamental understanding of statistical evaluation. 

• Means to adapt to a versatile work setting. 

• Standout colleague with a “can do” angle. 

• Distinctive tutorial efficiency (minimal 3.25 GPA) 

 

Place Necessities: 

• Robust background in Pc Science.  

• Min. 3 years of labor expertise. 

• Deep information of LLMs, Pure Language Understanding 

• Proficiency in programming languages similar to Python or R, in addition to expertise with frameworks similar to Tensorflow, PyTorch and so forth. 

• Expertise within the chatbot or conversational AI business is a plus 

 

 

Alternatives: 

 

• Construct prototypes, run experiments, prepare new fashions, and help growing knowledge science merchandise that clear up real-world enterprise issues 

• Put AI and chat bot construct information to reinforce product providing to make use of on actual merchandise. 

• Talk findings that assist help fixing enterprise issues, perception technology and determination making 

• Develop customized knowledge fashions and algorithms to use to datasets 

• Construct finish to finish massive knowledge pipelines from knowledge ingestion to perception technology 

• Examine to make sure consistency, integrity and robustness of information pipelines 

• Handle code base and git repository within the growth platform 

 

About Swiss Re

 

Swiss Re is likely one of the world’s main suppliers of reinsurance, insurance coverage and different types of insurance-based danger switch, working to make the world extra resilient. We anticipate and handle all kinds of dangers, from pure catastrophes and local weather change to cybercrime. We cowl each Property & Casualty and Life & Well being. Combining expertise with artistic pondering and cutting-edge experience, we create new alternatives and options for our shoppers. That is attainable due to the collaboration of greater than 14,000 workers the world over.

Our success relies on our means to construct an inclusive tradition encouraging recent views and progressive pondering. We embrace a office the place everybody has equal alternatives to thrive and develop professionally no matter their age, gender, race, ethnicity, gender id and/or expression, sexual orientation, bodily or psychological means, skillset, thought or different traits. In our inclusive and versatile setting everybody can deliver their genuine selves to work and their ardour for sustainability.

 

 

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Key phrases:  
Reference Code: 128458