This is what you contribute

As a Senior Data Scientist at our organization, you'll play a vital role in shaping our data-driven initiatives and leveraging machine learning to solve a variety of challenges. Your expertise will drive the development and enhancement of our analytical capabilities, ultimately contributing to our organization's growth and success.


Here's how you'll make an impact:

  • Advanced Modeling Techniques: Apply your expertise in machine learning to develop and refine models that address specific business needs. Your work will involve building and fine-tuning models and optimizing their performance to provide valuable insights and solutions.
  • Efficient Data Pipelines: Design and implement end-to-end machine learning pipelines, ensuring seamless data preprocessing, model training, evaluation, and deployment. Your ability to create efficient and scalable pipelines is essential for our data processing and modeling capabilities.
  • Continuous Learning and Innovation: Stay informed about the latest advancements in the field of machine learning and data science. Continuously explore new techniques and methodologies, and apply them to improve our models and analytical processes.
  • Optimization and Performance Assessment: Conduct experiments, benchmarking, and rigorous testing to assess the performance of various model architectures and optimize key parameters. Your analytical skills will help us achieve optimal model performance and drive data-driven decision-making.
  • Problem-Solving and Adaptability: Troubleshoot and resolve any challenges that arise during model development, implementation, or deployment. Your problem-solving abilities and adaptability are essential for maintaining smooth operations and overcoming obstacles.

Your contributions will significantly influence our data science endeavours, enhancing our capabilities and enabling data-driven decision-making across various domains. Join us in this exciting opportunity to apply your machine learning skills and contribute to the success of our organization.


Our tech stack includes:

  • Python and relevant computer vision libraries (e.g. NumPy, pandas, OpenCV, scikit-image)
  • Large Language Models (e.g. GPT, LLAMA, BERT)
  • Frameworks essential for training and evaluating image recognition tasks (e.g. PyTorch, Vertex AI, COCO)
  • Databases (SQL, BigQuery)
  • Infrastructure components such as GCP, GPU, Docker, GitHub Actions, Terraform, and CI/CD

This turns you into the perfect candidate

  • Bachelor or Master in Computer Science, Mathematics, or a related field with a focus on machine learning or data science.
  • Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with distributed training and optimization techniques for large-scale machine learning models.
  • Solid understanding of cloud platforms (e.g. GCP, AWS) and their machine learning offerings.
  • First hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.
  • Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions.
  • Excellent communication skills and the ability to collaborate effectively in a cross-functional team.
  • You are proficient in English, German is a plus.

Who needs your support?

noimos is a Zurich-based, but globally focused, start-up harnessing the potential of ML, computer vision and design to shake up the insurance industry and revolutionize the all-important claims process.

We are an independent subsidiary of one of the largest insurance groups in the world, AXA, enjoying many of the benefits that that brings.

From a personal point of view, noimos is a small group of experienced professionals, with strong background in technology, entrepreneurship, and insurance. We are passionate about making a difference with our products and enjoying ourselves along the way.

The challenges we tackle at noimos are diverse, demanding, and meaningful.

This turns us into the perfect employer

5 weeks vacation

Choose your hardware

Flexible working hours

Bike room and showers

Home office / remote working 2 days per week

International team

Part time possible

Bonus payment

Air conditioning and standing desk

Convivial team events

Well-connected office

Startup culture

5 steps until your welcome party

  • You apply via the web form
  • You meet with a recruiter
  • You get to know your supervisor from your department
  • You receive a contract offer
  • Welcome to the team

You want to be part of this inspiring journey? So let's talk!

Andjela Zdravkovic

Relationship Manager

Contact & Apply

This job posting is currently on hold
Senior Data Scientist (Large Language Models)

Thank you very much for your interest. We are very far in the recruitment process for this position and therefore do not accept any applications at the moment.

If you leave us your contact details, we will contact you if this or a similar position becomes available.

Transparency and open communication are important to us. We (noimos AG), the hiring company, hereinafter referred to as "Company") would therefore like to point out to you that parts of our recruitment process are provided by a specialised, external service provider (digitalent ag, hereinafter referred to as "Service Provider").

For the purpose of handling the recruitment process, the service provider collects and processes the personal data of interested parties and applicants. The processing can take place electronically. This is particularly the case if a prospective candidate submits corresponding application documents electronically, for example by e-mail or via a web form on the website. In the case of an application, the service provider transmits the following data to the company:

  • contact details
  • First name, last name
  • Curriculum vitae if applicable
  • Certificates, if applicable
  • all data transmitted by yourself for this purpose, such as the qualifications, work experience, preferences, etc. provided.

If the company concludes an employment contract with an applicant, the transferred data will be stored for the purpose of processing the employment relationship in compliance with the statutory provisions. If no employment contract is concluded between the company and the applicant, the application documents will be deleted six months after notification of the rejection decision latest, provided that no other legitimate interests or contractual obligations are opposed to deletion.

Furthermore, the data protection regulations of the service provider also apply.

We already work with selected recruitment specialists and only accept direct applications. Should we receive applications through personnel service providers, we will treat these as direct applications. We do not plan to expand our supplier base or enter into any other contract with recruitment agencies.

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