Data Scientist
Intuitech
Job Overview
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Job Description
About the Data Scientist Role
Join Intuitech as an experienced Data Scientist. You will join our Data team to drive innovations in Generative AI and design advanced fraud detection systems for banking.
Your Future Tasks
- Plan and design advanced fraud detection systems for banking.
- Participate in generative AI R&D in fraud detection.
- Apply technologies like behavioral analytics, image processing, OCR, NLP, and deep learning.
- Collaborate with internal/external customers, IT service providers, and subcontractors.
- Develop metrics and dashboards to monitor model performance and data drift.
- Prepare and cleanse data from various sources for statistical analysis.
What We Expect from You
You should be motivated, enthusiastic, and able to communicate clearly with non-technical audiences. Required skills include:
- 2-3 years of Python development experience.
- 2-3 years experience in data science, machine learning, and deep learning algorithm development.
- Strong knowledge of predictive algorithms and statistics-based metrics.
- Experience with SQL systems.
- Proficiency in Hungarian and intermediate English.
Bonus Skills
Additional advantages include cloud platform experience (AWS, Azure, GCP) and familiarity with LLM frameworks (LangChain, OpenAI API, Hugging Face).
What We Offer
Intuitech is a fast-growing tech company with a welcoming community. Enjoy regular performance reviews leading to promotions, a hybrid work setup with days in our Budapest office, and flexibility if you're not based in Budapest. Other perks include free snacks, health benefits, social events, and additional vacation days for loyalty.
Key skills/competency
- Fraud detection
- Generative AI
- Python
- Machine Learning
- Deep Learning
- NLP
- SQL
- Data Cleansing
- Image Processing
- Statistical Analysis
How to Get Hired at Intuitech
- Research Intuitech's culture: Study mission, values, and employee testimonials.
- Tailor your resume: Highlight Python, ML, and fraud detection skills.
- Showcase project work: Emphasize generative AI and analytics experiences.
- Prepare for interviews: Practice technical and behavioral questions.
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