Data Scientist

My client is looking for a Data Scientist who has a real interest in a more programming heavy role, to join their vibrant team in their sleek Stockholm office.

The company's main focus is working alongside businesses (small, medium and enterprise) to ensure that they are maximising their business operations; this includes anything from auditing, payroll to VAT accounting, declaration or business acquisition.

They are now looking to build their impactful technology dept with a Data Scientist.

Responsibilities

* Enhance MLOps environment: Continuously improve the machine learning operations (MLOps) environment to streamline model deployment and monitoring processes.
* Work with Large Language Models (LLMs): Develop and optimize models using large language models to meet various project requirements.
* Deploy ML models to production: Manage the end-to-end deployment of machine learning models, ensuring they are robust, scalable, and efficient in production.
* Collaborate with internal teams: Partner with internal business teams to understand their needs and provide data-driven solutions.
* Engage with portfolio companies: Work closely with companies within the portfolio to deliver machine learning solutions that address specific business challenges and opportunities.

Qualifications

* Minimum of 2 years working as a Data Scientist or a Software/Data Engineer who's worked with building ML algorithms
* 2 years engineering experience with Python
* Confident working with cloud and most preferably Azure - their tech stack includes Form Recognizer, Cognitive Search, Storage and others
* Worked with supervising models in production
* Familiar with a MLOps enviro, supervising models in productions and LLMs
* It's beneficial if you've previously deployed unsupervised and supervised ML models to production
* BSc/MSc in a relevant field
* Fluency in Swedish and English

As a Data Scientist, you will get a lot of trust to do your own thing and take on a huge amount of responsibility where you can make a lot of your own solutions and have full control over the Data Science strategy.

This is a great opportunity if you're somebody who loves having a broad role in an environment that encourages you to grow and learn new things, while working with modern tech.

Interested in finding out more? Apply with your updated CV.