Data Scientists for AI and ML Work

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Taastrup

Can you see yourself developing the delay prediction systems that make travel information more reliable?

Are you fascinated by the possibility of using GenAI to improve public transportation, colleagues' workflow, and customer experiences at DSB?

Seek out these new opportunities for data scientists from entry to senior levels!

At DSB, we are committed to using the latest technology to improve our train operations and customer services.

In the AI department, we develop innovative solutions that will benefit DSB and our customers.

We are expanding our AI team and seeking skilled data scientists who share our enthusiasm for innovation and growth.

In this role, you will scrutinize and investigate data, develop, and enhance machine learning algorithms, like Large Language Models, and contribute to the future of public railway transportation through digital solutions.

Welcome to AI at DSB “We are a collaborative unit characterized by a high level of professionalism, deep respect for each other and a burning passion for developing ground-breaking solutions that address business-critical challenges at DSB.”

Says Lea Gustavsen, Head of AI

In our team, we purposefully work to identify and address the core business needs that can benefit from AI solutions while ensuring that our solutions are consistent and scalable.

We are at the forefront of technological development and see AI as an essential facilitator for achieving DSB's strategic goals.

Our new Traffic Information team is seeking Data Scientists to innovate the process of notifying customers about real-time train delays,

The goal is clear: We want to be able to predict and inform about any delays across all main lines efficiently and accurately.

Our GenAI team is searching for a Lead Data Scientist to take on a key role, providing direction and training to our colleagues while concentrating on developing and refining the Danish language capabilities in our Large Language Models and Speech Recognition systems.

This position is central to advancing GenAI's innovations and influencing the direction of future transportation technology.

By now, our department comprises three AI/ML development teams, all working according to the Scrum methodology – and all with the same end goal: To deliver sophisticated solutions that address pressing challenges at DSB through innovative use of AI.

”The most fun part of our job is when you have to go out and try to find the good solutions, bring together people with different backgrounds to dig into what we can do." Says Anne, Data Scientist in the AI Traffic Information team.

Your everyday life as a Data Scientist As a Data Scientist in AI at DSB, you will collaborate with business experts and other data and AI professionals like AI Engineers, MLOps Engineers, Software Developers, and Business Analysts.

You will primarily

  • Analyze diverse datasets, like audio streams for speech.
  • Prepare structured and unstructured data, maintaining high standards for model training across various data types.
  • Build AI and ML models to support event- and AI-driven daily operations of our trains.
  • Regularly monitor and refine predictive and speech-to-text models to ensure peak accuracy and efficiency.
  • Support initiatives using advanced algorithms and data ontology to boost the capabilities of our ML models and speech recognition systems etc.

We work with cloud-based development on Microsoft Azure and GitHub

For the Lead position in the GenAI team, you'll be responsible for developing and enhancing machine learning models and providing strategic direction and technical oversight to the team.

Who are you? We are looking for candidates who are highly motivated and engaged in the fields of data analysis and programming.

You have experience with relevant programming languages such as Python and query languages such as SQL, enabling you to efficiently navigate large amounts of data and make complex calculations.

Professionally, you can recognize yourself in some of the following points

  • Understanding of data structures, data modelling, and different machine learning frameworks.
  • Quantitative skills in statistical analysis and algorithm application.
  • Ability to solve complex problems, design experiments, and test hypotheses.
  • Experience in handling and optimizing the Databricks platform for large-scale data processing and machine learning tasks.

Your soft skills enable you to

  • Collaborate effectively with non-technical and technical personnel.
  • Commit to continuous learning, allowing you to stay ahead of industry trends and enhance your proficiencies.
  • Communicate fluently in English.

For the Lead Data Scientist position in the GenAI team, we additionally need

  • Practical experience with Large Language Models and applying machine learning to real-world situations.
  • Hands-on experience with speech recognition frameworks and familiarity with the nuances of audio data processing.
  • Fluency in Danish language, orally and in writing.


Danish language is primarily used across DSB’s core units while English is predominant within our IT department.

What can you expect from DSB?
  • Free transportation with DSB

  • Flexible working hours and the opportunity to work from home a few days a week
  • Training in DSB's gym and PureGym
  • Pension and health insurance
  • Lunch scheme and the opportunity to buy food to take home


Apply now The application deadline is July 21, 2024.

We conduct interviews on an ongoing basis, so please upload your CV, application (as a document or video), and exam papers (if applicable) as soon as possible.

For questions, please call Lea Gustavsen at +45 2468 6082 or Anne Brandt Nielsen at +45 4024 8494

#LI-Hybrid

#LI-BS1

Kilde: Jobnet.dk


Information og data

Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".

Arbejdsstedet er beliggende i Taastrup.

Jobbet er oprettet på vores service den 3.7.2024, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Øvrige
  • Taastrup
  • Søndag den 21. juli 2024

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