Avaus

Data Scientist Consultant

Informationsteknologi

Stockholm, Sweden

Publicerad: 05/03/2026

Heltid

Utgår den 03/06/2026

Jobbeskrivning

***Are you a Data Scientist who thrives at the intersection of code, business impact, and applied machine learning?***
*Do you get energy from solving real-world problems with data, collaborating across teams, and making sure your models drive actual results for clients? Then we’d love to meet you.*
***Why Avaus?***
We are the leading digital transformation partner for marketing and sales leaders in the Nordics. From B2C to B2B, we work with top-tier brands to unlock value from data and technology. Our mission is to help our clients build the marketing and sales capabilities of the future, spanning AI, personalisation, automation, customer experience orchestration, and modern ways of working.


You’ll join 100 colleagues across Sweden, Finland, Germany and Poland. We have a collaborative, curious, and forward-leaning team united by a passion for data-driven growth.


***The Team***
At Avaus, you’ll work at the intersection of business, data and technology. Our consultants are trusted advisors and hands-on problem solvers. We turn data into insights, build intelligent solutions, and enable personalised customer experiences — often within complex, multi-cloud environments.


You’ll be surrounded by talented specialists in strategy, analytics, martech, and data engineering — and you’ll be encouraged to constantly learn and grow together.


***The Role***
As a mid-level data science consultant, your focus is both technical and consultative. You’ll help clients solve real business problems using data — not just by building models, but also by advising on what’s possible, feasible, and impactful.


We see an agentic future, and it is a huge plus if you come with curiosity or experience in agentic workflows (e.g. autonomous agents, orchestration of LLMs/tools, or AI-led decision processes).We’re increasingly building capabilities in this area — and we’re looking for people who want to grow with us.


*You’ll work on:*

- Designing and implementing machine learning models and experiments
- Translating business needs into analytical solutions
- Exploring new data sources and automating analysis
- Collaborating with cross-functional teams across Avaus and client organisations
- Advising on the use of data and AI to drive business outcomes
- Reporting to show-case the results we create for our clients
- Contributing to our asset library within data science, to build our agentic delivery capacity

***Who are you?***
You’re a curious, analytical problem-solver who wants to grow into a trusted advisor. You understand that data science is as much about people, processes and priorities as it is about code. You value impact over elegance — and progress over perfection.


***We believe you have:***

- A Master’s degree in a relevant field (e.g. engineering, computer science, mathematics)
- Solid knowledge of Python and open-source data science libraries Experience with machine learning techniques and experimentation
- Familiarity with cloud platforms (e.g. AWS, Google Cloud, Microsoft Azure) and modern data tools (e.g. Looker, Snowflake)
- Comfortable working with SQL and databases
- Experience or interest in recommender systems, agentic workflows, or autonomous AI tools
- Fluent in English and Swedish

***Practical Information***
Our office is located at Renstiernas gata 12, and we have a flexible hybrid work model where we both work from our office, the client offices and home sometimes. We’ll agree on the starting data and it is a permanent position with a 6 months probation period. You will report to the Head of Delivery and be in the Data & Analytics competence team.


***Apply now***
Apply through our career page promptly, as interviews will be scheduled continuously. For questions, reach out to Ellen Lübeck, Head of Delivery. Please be aware that email applications cannot be accepted due to GDPR regulations.

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Jobbdetaljer

Publiceringsdatum

05/03/2026

Plats

Stockholm, Sweden

Utgångsdatum

03/06/2026

Erfarenhetsnivå

Medelnivå

Distansarbete

Hybrid

Arbetsplats

Stockholm, Stockholm County

Löneinformation

EUR • Per År

Ansökningsmetod

Website

Ansökningar

5

Publicerande företag

category

Informationsteknologi

Plats

Stockholm, Sweden

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