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Open nowPosted 68 days ago

Senior Data Scientist

Twoday29 open roles

Where
København, Denmark
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Your applicationOpen nowSenior Data ScientistTwoday · København, Denmark

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Twoday postings stay open a median of 33 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 68 days ago

Twoday median: 33 days open

The posting

Twoday is one of the leading digital transformation partners in Northern Europe with a global presence. With approximately 3,000 technologists, we collaborate with the most admired private and public organizations to deliver cutting-edge digital solutions. Our deep industry expertise includes Data & AI, software development, digital experiences, and business applications. Operating across the Nordics and Lithuania, our team serves over 8,000 customers and supporting their digital transformation journeys.

We are looking for an experienced Senior Data Scientist to join our AI team!

Most organizations have no shortage of ideas for what to model. Far fewer can turn a vaguely stated business problem into a well-posed prediction task, pick the algorithmic approach that fits it, and defend the result when someone asks how the number was produced. That gap is where you come in. You will do the analytical work that turns a customer's business problem into a model that holds up, and then into something they actually use, alongside data engineers, AI/ML engineers, cloud architects, and software developers on some of the largest Data & AI teams in the Nordics.

This is a hands-on role. You will spend most of your time in data and in code, with experienced colleagues around you and room to take ownership of the analyses and models you know best.

What are we looking for?

You are a scientist and a builder. Given a business problem stated in a customer's own words, you can work out what should be predicted, at what granularity, against which target, and what a good result would even look like. You are rigorous about how you validate a result, and you have learned that the hard part is rarely the algorithm itself.

We expect you to bring:

  • Hands-on data science experience, including at least one or two models you have taken past the prototype stage and to production.
  • Experience translating a business objective into a formal AI/ML problem: defining the target variable and unit of analysis, agreeing what success means with the people who will use the model, and saying early when the data will not support the question.
  • Strong predictive modelling craft: classification, regression, time series and generative AI
  • Judgement about algorithmic choice: when a well-specified baseline or classical statistical model is enough or when a heavier method earns its cost and when the problem is not a prediction problem at all.
  • Solid applied statistics: honest validation, uncertainty, and the ability to explain what a result does and does not support.
  • Strong software fundamentals to write code others can build on
  • Experience on Azure: Azure Machine Learning, Databricks, or Microsoft Fabric (Experience from AWS or GCP transfers, and we will not hold it against you.)
  • Experience applying generative AI where it genuinely fits, including RAG architectures and the evaluation of prompts and models.
  • An awareness of what governance means in practice: reproducibility, model documentation, GDPR, and bias and fairness considerations. You do not need to have all the answers, but you should know the questions matter.
  • The ability to present your work to a customer's stakeholders and explain what you did and why, without flattening the trade-offs into a slogan.
  • Fluent spoken and written Danish is a requirement.

Will your responsibilities be?

  • Deliver the analytical work in customer projects: exploration, feature work, baselines, modelling, validation, and documentation.
  • Take part in framing sessions with customers and help shape a business problem into a prediction task with a defined target, a defined decision it supports, and success criteria the business recognises.
  • Propose and justify the algorithmic approach for the problems you own, starting from a baseline and adding complexity only where it pays.
  • Build models that hold up in production, together with our AI/ML engineers, and help interpret how they behave once they are live.
  • Choose and defend evaluation metrics that reflect the business outcome rather than only the leaderboard.
  • Work closely with customers' analysts and domain experts through delivery and handover.
  • Share what you know: code reviews, internal sessions, and pairing with less experienced colleagues.
  • Grow towards a lead role over time if that is the direction you want. We will support it.

About you

  • You take ownership and are comfortable working in complex environments
  • You are pragmatic and focus on delivering real-world value
  • You enjoy working across disciplines and bridging gaps within teams

What can we offer? twoday is located in modern offices in 30 locations in Norway, Sweden, Denmark, Finland, and Lithuania. We have a strong and unique social environment with highly engaged employees. If you are the candidate we are looking for, you will have a central role with exciting opportunities to develop in an international and innovative group, with exciting products and services within technology and software. You will also have the flexibility to "jump" and work from one of our headquarters in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius at times.

Diversity & Inclusion Are you not meeting all the requirements listed? Studies have shown that women and other minority groups are less likely to apply for a job if they don't meet every qualification. We're dedicated to build a workplace of diversity and inclusion. If you are excited about this role but your previous experience does not match the job description, we encourage you to apply anyway.

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