Data Scientist

Poznan (Office), Poland

ROCKWOOL Group

Our stone wool insulation is a key component in fire-resilient buildings.

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We are looking for a Data Scientist based in our Poznan location to join the Data & AI team in ROCKWOOL. 

 

Ready to help build a better future for generations to come? 

In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.  

 

Your future team: 

We have recently started a journey towards using more digitalization and automation and better use of data – and this is where your abilities come into play. You will join our Data & AI team and work at the forefront of AI and machine learning. This role is based in our Poznan office, but is an integral part of a larger global Data Science & Engineering team spread across Denmark, Poland and Malaysia. 

 

What you will be doing:

We are seeking a talented and experienced Data Scientist (we are considering both Seniors and Regulars) to join our dynamic team with a focus on implementing our AI/ML models and AI products. The role requires a blend of data science, software development and database management skills. More concretely, you will build AI products with a focus on the following: 

  • You will develop machine learning and AI models in various areas ranging from manufacturing and commercial data. Use cases can range from image recognition and computer vision to email classification and optimization algorithms. 

  • You will work on the entire AI lifecycle, from ideation to production. The role requires you to not only develop a model but also be able to wrap it into a product which can be used by people both internally (ROCKWOOL employees) and externally (ROCKWOOL customers). 

  • You will utilize technologies such as Neural networks, XGBoost, time series analysis, YOLO, Azure OpenAI, LLMs, vector databases, Langchain, and other services to create and maintain solutions across the AI landscape. 

  • You will utilize web technologies such as React to develop web applications as interfaces for our AI models and databases such as Postgres, MongoDB, and other database management systems to manage the underlying data for the AI products. 

 

What you bring: 

  • A master's degree in computer science, Data Science, Mathematics, Statistics, or related field 

  • 3+ years of experience in Data Science  

  • Experience with both GenAI and classical machine learning techniques. 

  • Experience of working with LLMs, transformer models, vector databases, RAG frameworks, Langchain, etc. 

  • Excellent skills within Python, SQL, and cloud computing technologies 

  • Hands on experience in deploying models and algorithms into production systems with tools such as Kubernetes, docker, yaml, etc.  

  • Experience with ML Ops tools and frameworks such as Kubeflow, MLflow, e.g. is desirable 

  • Professional in English language 

 

ROCKWOOL are keen to nurture employees develop their talents and move forward in their careers. You can expect to be supported in your professional ambitions through our programs, to help you reach your professional goals. 

What we offer:  

By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan’s city center in the new prestigious office building – Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities.

Our compensation package on employment contracts includes:   

  • An office-first approach: home office is available up to 2 days per week
  • Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM
  • Home office subsidy
  • Private Medical Care
  • Multikafeteria MyBenefit
  • Wellbeing program
  • Extra Day Off for voluntary activities

… and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit.

Interested?  

If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English.  

 

Who we are 

We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive.  We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose – to release the natural power of stone to enrich modern living.   

 

Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.    

Diverse and Inclusive Culture 

We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Azure Classification Computer Science Computer Vision Docker Engineering Generative AI Kubeflow Kubernetes LangChain LLMs Machine Learning Mathematics MLFlow ML models MongoDB OpenAI PostgreSQL Python RAG React SQL Statistics XGBoost YOLO

Perks/benefits: Career development Competitive pay Health care Startup environment Team events

Region: Europe
Country: Poland

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