Data Scientist (gn)
Actively Reviewing the ApplicationsTAKKT Group
On-site
Posted 18 hours ago
•
Apply by June 11, 2026
Job Description
We shape the future of work – shape it with us!
We are TAKKT – an international, listed company with strong brands such as kaiserkraft, ratioform, BIGDUG, FRANKEL, Gerdmans and Runelandhs. As a leading provider in B2B omnichannel commerce, we create powerful and sustainable solutions that make working life easier and better.
We are looking for motivated people who want to contribute shaping the workplaces of tomorrow.
Join TAKKT Group – we are looking for motivated employees in Budapest to strengthen our team as a Data Scientist to shape new worlds of work!
Where You Make An Impact
Then apply now and become part of the TAKKT family. Together we create impactful, efficient and sustainable solutions designed to improve and simplify our customers’ workplace experience – for our customers, for us, and for YOU – shape new worlds of work!
We are TAKKT – an international, listed company with strong brands such as kaiserkraft, ratioform, BIGDUG, FRANKEL, Gerdmans and Runelandhs. As a leading provider in B2B omnichannel commerce, we create powerful and sustainable solutions that make working life easier and better.
We are looking for motivated people who want to contribute shaping the workplaces of tomorrow.
Join TAKKT Group – we are looking for motivated employees in Budapest to strengthen our team as a Data Scientist to shape new worlds of work!
Where You Make An Impact
- Develop and implement data science solutions across the entire machine learning lifecycle – from data preparation to production deployment
- Integrate and apply large language models (LLMs) and generative AI models into existing systems and processes
- Collaborate with software developers and architects to embed ML models into scalable system architectures
- Conduct exploratory data analysis, feature engineering, and modeling using classical machine learning methods
- Develop dashboards, reports, and APIs to deliver data-driven insights
- Support the evaluation and selection of new technologies and tools in the field of AI and data science
- Work closely with stakeholders from business units, IT, and management to gather requirements, develop solutions, and present results
- Think in end-to-end processes: from problem definition and technical implementation to sustainable integration into business operations
- Prompt engineering skills are an advantage.
- Competitive salary and benefits package.
- Flexible working hours with a hybrid model require 60% office presence.
- Cafeteria with multiple options in the amount of gross 40,000 HUF
- Private health insurance after 3 months’ probation
- Modern office location with ergonomic workspaces, and a collaborative atmosphere
- Degree in Computer Science, Data Science, Mathematics, Physics, or a related field
- Strong proficiency in Python and / or R and common data science frameworks (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow) Experience working with LLMs (e.g., LiteLLM, OpenAI, Hugging Face) and generative AI models (e.g., Text2Text, Text2Image, etc.)
- Familiarity with system architectures, APIs, and integrating ML models into production environments
- Knowledge of cloud technologies (e.g., Azure, AWS, GCP) and CI/CD processes is a plus
- Analytical mindset, strong team player, and a solution-oriented working style
Then apply now and become part of the TAKKT family. Together we create impactful, efficient and sustainable solutions designed to improve and simplify our customers’ workplace experience – for our customers, for us, and for YOU – shape new worlds of work!
Required Skills
Machine Learning
Engineering
Data Analysis
Python
AWS
Pandas
TensorFlow
PyTorch
Scikit-learn
Azure
Data Science
CI/CD
Mathematics
Modeling
Generative
Cloud technologies
Machine learning methods
Large Language Models
Data preparation
Dashboards
OpenAI
Technical Implementation
Prompt engineering
LLMs
Analytical Mindset
Physics
Generative AI
Exploratory Data Analysis
Computer Science
SciKit
Data scientist
Feature Engineering
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