(Internship/master Thesis) Advanced Case Management

Vor 2 Tagen

Lausanne, Schweiz ELCA Vollzeit

The barometer 2021 of the main concerns of young Swiss citizens is clear: You, the representatives of generation Y and Z, want to be better informed about what your future income will be thanks to the 3 pillars of the Swiss pension system.

In this project, you will be working within the Neosis team, currently developing a modern, state-of-the-art software solution that covers the administration of the Swiss pension system.

Digitization combined with Artificial Intelligence, Customer Analytics, Process Analytics and Machine learning allows for greater transparency, better communication and a modern and disruptive approach to help managing your life as a Swiss citizen.

Multiple Challenging Steps:

- The first step will be to use ingenuity and creativity to make use of available data in order to efficiently resolve the business requirements.
- The second step will be to design learning algorithms adapted to the thematic using the standard machine learning resolution process. For that part you will be welcomed to use standard ML tools that you are familiar with (Sklearn, Pytorch, Tensorflow, MLFlow,).
- In the third step, you will be asked to interpret and visualize the result of your algorithm in an intuitive way for business experts.

This will have an opportunity to learn professional analytics tools such as Tableau software.

This represents a major step for our Neosis solutions, moving from a classical Software to an Artificial Intelligence Driven one.

Our final users will operate their work as usual but well supported and advised in their decisions to optimize their efficiency.

**Philosophy**: contribute to improve the visibility and understanding of Pension and Social Insurance topics for young Y, Z generations.

**Keywords**:Machine-learning, advanced case management, data analysis, data-visualization, life insurance, swiss pension system.

**Questions? **Don’t hesitate to contact Elisabete Candido who will connect you with our experts.

**In this role**:The goal of the internship is to participate to the definition of futures AI principles and functionalities our Product will offer.

This will be done by adding artificial intelligence dimension to one of our Software aimed to offer a significant support in the decision making of pension and social insurance experts.

**What we offer**:

- A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
- Personal development through training and coaching
- A flat hierarchy and a culture of collaboration across all disciplines
- The chance to make a difference in peoples’ life by building innovative solutions
- High innovation and research backed up by collaboration with universities like EPFL
- Various internal coding events (Hackathon, Brownbags), see our technical blog
- Monthly After-Works organized per locations
- Good life balance (41 working hours per week and possibility to work 2 days per week from home)

**About your profile**:

- Willing to understand business needs and context
- IT - engineering Skills mainly to understand Architecture and Solution
- Development Skill
- Machine learning / AI

Software engineering:

- Python or R is a must with knowledge of Jupyter notebook
- ML libraries
- Java is a plus
- SQL Basics

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